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-<script type="application/json" id="model-data" data-stage>{"commit":"14fe42260123b477628f766a11808b6981abca13","root":"Robert Blust","rootId":"identity","types":[{"type":"experience","folder":"experiences","owner":"profile","singular":false},{"type":"experience-kind","folder":"experience-kinds","owner":null,"singular":false},{"type":"identity","folder":null,"owner":null,"singular":true},{"type":"proficiency-level","folder":"proficiency-levels","owner":null,"singular":false},{"type":"profile","folder":"profiles","owner":null,"singular":false},{"type":"skill","folder":"skills","owner":null,"singular":false},{"type":"source","folder":"sources","owner":null,"singular":false},{"type":"value","folder":"values","owner":null,"singular":false},{"type":"vision","folder":null,"owner":null,"singular":true}],"entities":[{"id":"experience-kinds/community","type":"experience-kind","name":"Community","tagline":"Work done in public — a talk, a seat, a working group, a published case.","fields":{"source":"Local"},"sections":[{"heading":"What it means","text":"A period whose output is addressed to people outside the organization paying for it: a\nconference talk, a board or committee seat, a user group, a case study published under someone\nelse's name. `organization` names the host — the conference, the group, the publisher — and not\nan employer.\n\nA talk writes `end` equal to `start`; a board seat held for years does not. Both are this kind:\nwhat makes it community work is the audience, not the duration.","tables":[]}],"owner":null,"path":"model/experience-kinds/community.md"},{"id":"experience-kinds/education","type":"experience-kind","name":"Education","tagline":"A degree, a certification, a course.","fields":{"source":"Local"},"sections":[{"heading":"What it means","text":"A period whose output is a qualification rather than a delivery. `organization` names the\nawarding body — the school, the certifying institute — the one case where the field does not\nname somewhere work was done.\n\nLearning that happened during a role is not this kind. Every role teaches something; what makes\na period education is that the qualification is the point of it.","tables":[]}],"owner":null,"path":"model/experience-kinds/education.md"},{"id":"experience-kinds/independent","type":"experience-kind","name":"Independent","tagline":"A self-directed period with no employer and no client.","fields":{"source":"Local"},"sections":[{"heading":"What it means","text":"A period worked for oneself: what to build and whether to build it were the same person's\ndecision, and nobody commissioned the result. `organization` is absent, because there is none —\nwhich is the difference a reader would otherwise have to infer from an empty field.\n\nIt is not a project: nobody asked for the delivery, and the period is not bounded by it. It is\nnot a role: there is no organization to hold a position in. Those two readings are what this\nkind exists to avoid having to choose between — a career break spent building products is\nneither, and saying so is cheaper than pretending it is one of them.","tables":[]}],"owner":null,"path":"model/experience-kinds/independent.md"},{"id":"experience-kinds/project","type":"experience-kind","name":"Project","tagline":"A delivery worth naming on its own, inside a role or beside one.","fields":{"source":"Local"},"sections":[{"heading":"What it means","text":"A period defined by what it produced rather than by whom it was spent with: a platform, a\nmigration, a launch. Client work and internal work alike. `organization` names the client, or\nwhoever the work was done for when that is not the employer.\n\nIt ends when the delivery does. A project with no end and no deliverable is a role described by\nits current work.","tables":[]}],"owner":null,"path":"model/experience-kinds/project.md"},{"id":"experience-kinds/role","type":"experience-kind","name":"Role","tagline":"A position held in an organization — the employment history.","fields":{"source":"Local"},"sections":[{"heading":"What it means","text":"A period spent working for an organization under an arrangement that outlasts any one piece of\nwork: employment, a long contract, a partnership. `organization` names the employer.\n\nIt is not a delivery. What was built during a role is a project of its own, and a role whose\nachievements describe one system is usually two periods written as one. The test is whether the\nperiod would have continued had the work changed: if it would, it is a role.","tables":[]}],"owner":null,"path":"model/experience-kinds/role.md"},{"id":"identity","type":"identity","name":"Robert Blust","tagline":"A company of one: technology leadership and business architecture, and the models that let people and agents both work inside a business.","fields":{"source":"Local","email":"robert@blust.ch","location":"Wallisellen, Switzerland","url":"https://blust.ch"},"sections":[{"heading":"What it is","text":"One person, described in CompanyGraph as a company would be. The work is technology\nleadership, business architecture and model-driven engineering — lately turned on the business\nitself, so that a company is legible to the people who run it and to the agents that\nincreasingly work alongside them.\n\nThis instance is both the description and the proof: the same discipline sold to a company,\napplied first to its author.","tables":[]}],"owner":null,"path":"model/identity.md"},{"id":"proficiency-levels/competent","type":"proficiency-level","name":"Competent","tagline":"Reliable alone. Unsupervised work with a predictable result.","fields":{"source":"Local","rank":"20"},"sections":[{"heading":"What it means","text":"Someone at this level works with it unsupervised and the result is predictable. They recognize\nthe common failure modes, having run into them.","tables":[]}],"owner":null,"path":"model/proficiency-levels/competent.md"},{"id":"proficiency-levels/expert","type":"proficiency-level","name":"Expert","tagline":"Knows the limits. Has worked below the surface, shaped it, or taught it.","fields":{"source":"Local","rank":"40"},"sections":[{"heading":"What it means","text":"Someone at this level knows where it breaks down and where it is simply wrong. They have worked\nbelow its surface, shaped it, or taught it.","tables":[]}],"owner":null,"path":"model/proficiency-levels/expert.md"},{"id":"proficiency-levels/familiar","type":"proficiency-level","name":"Familiar","tagline":"Needs support. Real use, with guidance or frequent reference.","fields":{"source":"Local","rank":"10"},"sections":[{"heading":"What it means","text":"Someone at this level has used it on real work, with guidance or frequent reference. They can\nfollow a conversation about it and make sense of other people's work in it.","tables":[]}],"owner":null,"path":"model/proficiency-levels/familiar.md"},{"id":"proficiency-levels/proficient","type":"proficiency-level","name":"Proficient","tagline":"Exercises judgment. Chooses between alternatives and can say why.","fields":{"source":"Local","rank":"30"},"sections":[{"heading":"What it means","text":"Someone at this level makes judgment calls in it and can explain why the alternatives are\nworse. Other people bring them their questions.","tables":[]}],"owner":null,"path":"model/proficiency-levels/proficient.md"},{"id":"profiles/robert-blust","type":"profile","name":"Robert Blust","tagline":"Technology executive and business architect — 25 years building platforms and products from explicit models, now modeling the company itself so people and AI agents can both work inside it.","fields":{"source":"Local"},"sections":[{"heading":"Skills","text":"","tables":[{"caption":null,"columns":["Skill","Level","Evidence"],"rows":[["Agentic AI development","Expert","Built CompanyGraph and GuestGraph agent-first under written conventions that encode the failure modes — an unresolvable reference is an error rather than a warning, so an agent cannot invent an entity; every validation pass must name what it did not check, so a clean report is never mistaken for a complete one. Earlier built LIKE MAGIC's internal AI marketplace on Claude (Claude Cowork), grounded in the Mental Model."],["Agile delivery","Competent","Served as Scrum Master and technical lead on central Wealth Management & Swiss Bank initiatives (2009–2015)."],["AI governance","Proficient","Defined LIKE MAGIC's AI governance as Head of Technology — a Human Oversight principle, data-privacy guardrails against training external LLMs on internal context, multi-provider tooling and cost governance — and held the company to it across plan, change and run."],["AI strategy","Proficient","Authored and executed LIKE MAGIC's company-wide AI strategy, from the internal rollout of assistants across plan, change and run to shipped customer-facing AI: architected the integration of d3x, ailean and onsai into the platform's staff solution."],["AI tool integration (MCP)","Competent","Wired Atlassian, Google Drive and Slack MCP servers into the agent that maintained the LIKE MAGIC Mental Model, reading and writing Confluence pages, Jira issues, Google Docs and Sheets so the knowledge base stayed in step with the systems it described, each command scoped to a named allowlist of the tools it could call. No server authored: the platform's own MCP layer was still roadmap at exit, as CompanyGraph's is now."],["API design","Expert","Established API and data management for UBS Wealth Management & Swiss Bank with generated XML-Schema and WSDL service contracts and led LIKE MAGIC's API-first strategy with a managed public API."],["Business architecture","Expert","Drove business architecture and capability modeling on EMF/Ecore at UBS Wealth Management & Swiss Bank for five years (2009–2015) then mapped LIKE MAGIC's 12 business domains as L0 concepts and L1 capabilities."],["Business process modeling (BPMN, DMN)","Proficient","Modeled the end-to-end guest journey from booking to check-out in Camunda BPMN at Stay KooooK and LIKE MAGIC."],["Change management","Proficient","Replaced UBS Wealth Management & Business Banking's proprietary engineering process with a market-standard one as owner of its Analysis & Design discipline, coaching project teams into it (2004–2009), then drove LIKE MAGIC's productive rollout of AI assistants across plan, change and run."],["CI/CD","Proficient","Built the Swisscard integration rewrite's pipeline on Jenkins and set LIKE MAGIC's CI/CD standards on GitHub Actions."],["Cloud architecture","Expert","Owned LIKE MAGIC's production cloud platform on Google Cloud and created the Aroov and Stay KooooK backend architectures on the same stack."],["Community building","Expert","Built internal communities of practice at UBS (2004–2009), led the division's Java Chief Developer committee for two years and co-led it for a further five (2009–2015), co-organized the three Eclipse events UBS hosted in Zürich (MDD Day 2010, Finance Day 2012 and 2014), represented UBS in the Eclipse Modeling Platform Working Group and served on the board of the Swiss Eclipse User Group within JUG Switzerland (2011–2014)."],["Company vision and strategy","Expert","Co-founded 3AP, which scaled to about 70 people, and co-founded LIKE MAGIC, building the platform behind 90+ customers and 16,000+ units as of 2026."],["Consulting","Proficient","Created technical concepts, proposals and pitches as 3AP's CTO (2015–2022), delivering award-winning client platforms in insurance, real estate, IoT and hospitality."],["Container orchestration (Kubernetes)","Proficient","Ran the Aroov, Stay KooooK and LIKE MAGIC backends on Google Kubernetes Engine."],["Context engineering","Expert","Built the LIKE MAGIC Mental Model as the organization's shared context layer and shipped it as a skill into the company's Claude environment, then generalized the approach into CompanyGraph — a published meta-model for describing a company as a graph both people and agents can read (2022–2026)."],["Conversational AI","Proficient","Architected the integration of d3x, ailean and onsai into LIKE MAGIC's staff solution — unified multi-channel guest messaging with AI agents answering, plus guest insights and staff handover."],["Data engineering","Proficient","Built LIKE MAGIC's event and data hub, the sink for every business event its services published: ingested into BigQuery for analytics, idempotent on the event id so a redelivery cannot double-count, and served back as a queryable event log. Earlier fed Credit Suisse's Master Data Repository from static source-code analysis and several source systems, and Flawa iQ's LoRaWAN telemetry into the ERP."],["Data governance","Competent","Built Credit Suisse's Master Data Repository so data stewards could be assigned and the golden-source distribution across the core systems mapped."],["Data modeling","Proficient","Built the canonical data model for UBS Wealth Management & Swiss Bank's enterprise data management (2009–2015)."],["Data protection (GDPR)","Competent","Ran LIKE MAGIC's GDPR compliance including the guardrail that no internal context trained external LLMs."],["Database design","Proficient","Worked with Oracle in UBS's DynaRep repository, MSSQL in the Swisscard rewrite and PostgreSQL with R2DBC/jOOQ across the LIKE MAGIC platform."],["DevOps","Expert","Established software-delivery processes and sustainable DevOps practices at 3AP and built LIKE MAGIC's production platform to DevOps standards on Google Cloud."],["Domain-driven design","Proficient","Cut LIKE MAGIC's platform along its 12 business domains — L0 concepts, L1 capabilities — so service and team boundaries followed the domain rather than the technical layering, and drove UBS Wealth Management & Swiss Bank's business architecture and capability modeling on EMF/Ecore for five years (2009–2015), where a canonical data model was what every interface contract in the division was defined against."],["Domain-specific language design","Expert","Built DynaRep's repository-based modeling tool and its code generators for UBS mainframe service interfaces (2004–2009) and defined data types, interfaces and service contracts platform-independently on EMF and Xtext (2009–2015)."],["Engineering leadership","Expert","Led the team building UBS Wealth Management & Swiss Bank's Eclipse-based tooling platform (2009–2015), then set the technology direction in two companies as co-founder — CTO at 3AP, Head of Technology at LIKE MAGIC — and owned the frame the engineering work happened in: the organizational structure and its roles, the reference architecture, the technology stack, the approvals every engagement had to pass, and the platform and AI budget. Carried that through 3AP's scale to about 70 people across two countries, and developed the technical leadership at LIKE MAGIC as it moved from a founding team to a 25-person product organization. Earlier at UBS, owned the Analysis & Design discipline in Wealth Management & Business Banking (2004–2009) and architected the SDLC toolchain that several hundred engineers across Wealth Management & Swiss Bank planned, built and released inside (2009–2015)."],["Enterprise architecture","Expert","Architected the Integration Architecture Tool Chain for UBS Wealth Management & Swiss Bank around a canonical data model with a central API and interface-portfolio repository (2009–2015)."],["Event streaming","Proficient","Built LIKE MAGIC's services as producers and consumers on Spring Cloud Stream over a Google Cloud Pub/Sub binder — bindings declared per service, transport swappable underneath — carrying 89M+ platform events a year, and ran Kafka as the streaming backbone of Conperi's processing pipeline."],["Event-driven architecture","Expert","Designed Aroov's event-driven backend on Google Cloud Pub/Sub and built the LIKE MAGIC platform on Pub/Sub as its event hub."],["FinOps","Proficient","Budget holder for LIKE MAGIC's cloud platform and AI tooling. Forecast and governed spend across dev, test and production, with consumption KPIs defined in the Mental Model and weekly actuals generated from the Google Cloud billing API, routed to owners by role when a threshold was breached. Held platform cost flat as volume grew to 89M+ events annually, through continuous database and code optimization."],["Frontend development (TypeScript, React)","Proficient","Owned Stay KooooK's front-to-back architecture including its React frontend and shipped LIKE MAGIC's React/TypeScript/MUI frontend."],["Identity and access management","Competent","Built zero-trust API boundaries into the LIKE MAGIC platform."],["Incident management","Proficient","Owned LIKE MAGIC's production cloud platform on Google Cloud — reliability, incident response and performance — for a multi-tenant SaaS serving 90+ customers and 430+ properties while it processed 89M+ platform events annually, with alerting driven by defined SLOs."],["Information security management","Competent","Built LIKE MAGIC's information-security management toward ISO 27001 (in progress), GDPR compliance and zero-trust API boundaries."],["Infrastructure as code","Competent","Built LIKE MAGIC's production platform as Infrastructure-as-Code on Google Cloud."],["Integration architecture","Expert","Owned AXA Health's complete integration architecture into Adcubum Syrius and integrated 3 PMS (Mews, Apaleo, Oracle OHIP), 15+ smart-lock systems and 3 AI communication vendors (d3x, ailean, onsai) at LIKE MAGIC."],["IoT architecture","Competent","Designed Flawa iQ's sensing and LoRaWAN connectivity and the backend ingesting device telemetry into the ERP (2018–2019)."],["IT governance","Expert","Ran delivery governance and technology-stack approvals at 3AP and set the role-based review process for the division's central interface-portfolio repository."],["IT strategy","Expert","Owned technology strategy and reference architecture as 3AP's CTO (2015–2022) then defined LIKE MAGIC's product and platform strategy across 12 business domains."],["Java","Expert","Built Java systems from UBS's DynaRep repository (2004–2009) to Spring Boot and WebFlux platforms at Swisscard, AXA, Aroov, Stay KooooK and LIKE MAGIC."],["Knowledge management","Proficient","Built the LIKE MAGIC Mental Model as the organization's shared context layer and established communities of practice at UBS (2004–2009)."],["Legacy modernization","Proficient","Architected DynaRep, generating COBOL and Java implementations for UBS mainframe service interfaces (2004–2009), and replaced Swisscard's proprietary SOAP data-integration layer (2015)."],["Machine learning","Familiar","Architected the pipeline, the labeling tool and the serving path for Conperi, 3AP's applied-research proof of concept with ZHAW for reading health-insurance invoices (2018–2020), and followed the modeling work closely enough to build the platform it needed — GPU training nodes, a labeled dataset where none existed, held-out evaluation reported per document rather than per line. The models themselves were ZHAW's."],["Mentoring and coaching","Proficient","Coached UBS project teams in the Analysis & Design methodology and built internal communities of practice (2004–2009), mentored engineers at 3AP as it scaled to about 70 people, and developed the technical leadership at LIKE MAGIC as it grew from 5 to 25."],["Microservices architecture","Expert","Authored 3AP's microservice reference architecture — event-driven, 12-factor, the service cut driven by business capability — and built AXA Health, Flawa iQ and Aroov to it (2015–2022). Carried it into LIKE MAGIC as the platform's own: booking, guest, profile, payment, door access, messaging, operation and analytics services, each contract-first, with every integrated vendor reached through its own connector and a fallback path behind the realtime one."],["MLOps","Competent","Set up Conperi's training and serving split — a training service, a registry versioning each model with the metadata to reproduce it, and a separate serving service so a model could be replaced without redeploying its consumers — on a GKE platform built from cluster creation up, with GPU nodes provisioned for training and a labeling tool feeding the dataset. It stayed a proof of concept: no model of this was ever operated in production, so nothing here covers drift, rollback or retraining."],["Model-driven engineering","Expert","Built UBS's DynaRep model-driven repository and code generator (MDSD, 2004–2009), the Eclipse-based Integration Architecture Tool Chain drawing on the cross-industry Eclipse Modeling Platform Working Group (2009–2015), and Credit Suisse's Eclipse-CDO Master Data Repository (2016). Presented the approach publicly at Eclipse Day Florence and Eclipse Finance Day 2012."],["Multi-tenant SaaS architecture","Proficient","Built and scaled LIKE MAGIC's multi-tenant hospitality SaaS platform, serving 90+ customers, 430+ properties and 16,000+ units across the DACH region as of 2026."],["Observability","Proficient","Instrumented LIKE MAGIC's production platform on Google Cloud Monitoring and Cloud Trace, with alerting driven by defined SLOs, across a multi-tenant SaaS processing 89M+ platform events annually. End-to-end traceability and continuous monitoring and alerting were architecture principles the services were built to, not instrumentation added afterward."],["Open-source stewardship","Proficient","Published CompanyGraph and GuestGraph as open core under Apache 2.0 — a license saying what is open and what could be paid for, conventions for a contributor, specs keeping the rejected alternatives beside the decisions, a release contract of tags and manifests so nothing depends on a moving target, and a reference instance an adopter can read (2026)."],["Organization design","Proficient","Defined the department-wide role model at UBS — each role with its tasks and the competencies it carried, put through a formal consultation before it took effect (2004–2009) — then shaped the technology organization at 3AP as it scaled to about 70 people including a near-shore team in Serbia, and at LIKE MAGIC as it grew to 25."],["Platform engineering","Expert","Architected the SDLC toolchain for UBS Wealth Management & Swiss Bank (Jira, Confluence, GitHub Enterprise, Maven, Jenkins, Sonar) and owned the LIKE MAGIC platform, serving 90+ customers as of 2026."],["Process orchestration","Expert","Owned the Camunda (Zeebe) orchestration of the guest journey at Stay KooooK and LIKE MAGIC, the subject of a published Camunda case study citing a 95% self-check-in rate and 7,000 process instances per month."],["Product discovery","Competent","Put CompanyGraph and GuestGraph up for scrutiny in the open, each with a talk, a billing model and a stated outcome including a clean no (2026)."],["Product management","Proficient","Defined and executed LIKE MAGIC's product and platform strategy across 12 business domains as co-founder and Head of Technology — API-first, with a managed public API and an event and data hub — on a platform that reached 90+ customers, 430+ properties and 16,000+ units."],["Public speaking","Proficient","Spoke at Eclipse MDD Day 2010 on models as the enterprise's first-class artifacts, at Eclipse Day Florence and Eclipse Finance Day in 2012 on model-driven engineering and interface conformance, at UBS-internal brown-bag sessions on modeling, toolchain and architecture (2009–2015), and at CamundaCon 2022 in Berlin on how SV Group became a SaaS business on Camunda."],["Requirements engineering","Expert","Owned the Analysis & Design discipline in UBS Wealth Management & Business Banking's RUP rollout (2004–2009) — replaced the division's proprietary engineering process with a market-standard one, developed its service- and data-modeling methodology in Rational Method Composer, led the project team of ten, and coached the division's teams into it. Writes a reviewed specification before every plan and build on CompanyGraph and GuestGraph."],["Site reliability engineering","Proficient","Owned site reliability engineering, incident management and performance for LIKE MAGIC's production cloud platform across three environments, with automated weekly reporting against defined thresholds."],["Software architecture","Expert","Owned Stay KooooK's complete front-to-back architecture on reactive Spring Boot WebFlux and took software-architect responsibility for UBS's DynaRep platform (2004–2009)."],["Software engineering","Expert","Built production systems across 25 years, from UBS's DynaRep repository (2004–2009) to LIKE MAGIC's Spring Boot WebFlux platform (2022–2026)."],["Software modeling (UML, SysML, C4)","Expert","Owned the Analysis & Design discipline in the Rational Unified Process rollout at UBS Wealth Management & Business Banking, developed its service-modeling methodology in Rational Method Composer and UML, and coached the division's project teams into it (2004–2009)."],["Software process engineering","Expert","Owned the Analysis & Design discipline in the Rational Unified Process and Enterprise Unified Process rollout at UBS Wealth Management & Business Banking, replacing the proprietary process with a market standard (2004–2009), then architected the division's SDLC toolchain (2009–2015)."],["Software testing","Proficient","Ran unit and integration tests as engineering practice rather than a phase after the build — new behavior covered at the level that catches its regression the next time the code is touched, rather than coverage as a number. Built the Swisscard rewrite that way on Jenkins and JUnit (2015–2016), then made it part of 3AP's delivery process across client engagements and of LIKE MAGIC's pipelines on GitHub Actions."],["Solution architecture","Expert","Led 3AP's client bids on solution architecture including public tenders under Swiss procurement law and designed Flawa iQ's RFID and LoRaWAN solution, delivered as 10 working prototypes."],["Solution selling","Proficient","Created technical concepts, proposals and pitches and led client bids including public tenders at 3AP, and presented the solution architecture in Aroov's winning pitch."],["Spec-driven development","Proficient","Built GuestGraph's identity-resolution engine and CompanyGraph — meta-model, tooling design and this reference instance — from written specifications, each reviewed before its plan and build, under conventions an agent pass enforces (2026)."],["Stakeholder management","Proficient","Advised clients including Credit Suisse, Swisscard, AXA and Mobiliar as 3AP's CTO and presented the solution architecture in the winning Aroov and Stay KooooK pitches."],["Technical writing","Expert","Wrote the Analysis & Design methodology and guidance a UBS division worked to (2004–2009), built the LIKE MAGIC Mental Model as the organization's written context layer, and wrote CompanyGraph's conventions, design specs and worked example — prose other people follow, for readers who were not in the room."],["Vendor management","Proficient","Ran LIKE MAGIC's AI and automation tooling as a managed portfolio — Claude Code per-seat team licenses, multi-provider tooling across Claude, Gemini and Copilot, and the build-versus-buy decision to self-host n8n on the platform's own Kubernetes rather than take the hosted service."]]}],"table":{"caption":null,"columns":["Skill","Level","Evidence"],"rows":[["Agentic AI development","Expert","Built CompanyGraph and GuestGraph agent-first under written conventions that encode the failure modes — an unresolvable reference is an error rather than a warning, so an agent cannot invent an entity; every validation pass must name what it did not check, so a clean report is never mistaken for a complete one. Earlier built LIKE MAGIC's internal AI marketplace on Claude (Claude Cowork), grounded in the Mental Model."],["Agile delivery","Competent","Served as Scrum Master and technical lead on central Wealth Management & Swiss Bank initiatives (2009–2015)."],["AI governance","Proficient","Defined LIKE MAGIC's AI governance as Head of Technology — a Human Oversight principle, data-privacy guardrails against training external LLMs on internal context, multi-provider tooling and cost governance — and held the company to it across plan, change and run."],["AI strategy","Proficient","Authored and executed LIKE MAGIC's company-wide AI strategy, from the internal rollout of assistants across plan, change and run to shipped customer-facing AI: architected the integration of d3x, ailean and onsai into the platform's staff solution."],["AI tool integration (MCP)","Competent","Wired Atlassian, Google Drive and Slack MCP servers into the agent that maintained the LIKE MAGIC Mental Model, reading and writing Confluence pages, Jira issues, Google Docs and Sheets so the knowledge base stayed in step with the systems it described, each command scoped to a named allowlist of the tools it could call. No server authored: the platform's own MCP layer was still roadmap at exit, as CompanyGraph's is now."],["API design","Expert","Established API and data management for UBS Wealth Management & Swiss Bank with generated XML-Schema and WSDL service contracts and led LIKE MAGIC's API-first strategy with a managed public API."],["Business architecture","Expert","Drove business architecture and capability modeling on EMF/Ecore at UBS Wealth Management & Swiss Bank for five years (2009–2015) then mapped LIKE MAGIC's 12 business domains as L0 concepts and L1 capabilities."],["Business process modeling (BPMN, DMN)","Proficient","Modeled the end-to-end guest journey from booking to check-out in Camunda BPMN at Stay KooooK and LIKE MAGIC."],["Change management","Proficient","Replaced UBS Wealth Management & Business Banking's proprietary engineering process with a market-standard one as owner of its Analysis & Design discipline, coaching project teams into it (2004–2009), then drove LIKE MAGIC's productive rollout of AI assistants across plan, change and run."],["CI/CD","Proficient","Built the Swisscard integration rewrite's pipeline on Jenkins and set LIKE MAGIC's CI/CD standards on GitHub Actions."],["Cloud architecture","Expert","Owned LIKE MAGIC's production cloud platform on Google Cloud and created the Aroov and Stay KooooK backend architectures on the same stack."],["Community building","Expert","Built internal communities of practice at UBS (2004–2009), led the division's Java Chief Developer committee for two years and co-led it for a further five (2009–2015), co-organized the three Eclipse events UBS hosted in Zürich (MDD Day 2010, Finance Day 2012 and 2014), represented UBS in the Eclipse Modeling Platform Working Group and served on the board of the Swiss Eclipse User Group within JUG Switzerland (2011–2014)."],["Company vision and strategy","Expert","Co-founded 3AP, which scaled to about 70 people, and co-founded LIKE MAGIC, building the platform behind 90+ customers and 16,000+ units as of 2026."],["Consulting","Proficient","Created technical concepts, proposals and pitches as 3AP's CTO (2015–2022), delivering award-winning client platforms in insurance, real estate, IoT and hospitality."],["Container orchestration (Kubernetes)","Proficient","Ran the Aroov, Stay KooooK and LIKE MAGIC backends on Google Kubernetes Engine."],["Context engineering","Expert","Built the LIKE MAGIC Mental Model as the organization's shared context layer and shipped it as a skill into the company's Claude environment, then generalized the approach into CompanyGraph — a published meta-model for describing a company as a graph both people and agents can read (2022–2026)."],["Conversational AI","Proficient","Architected the integration of d3x, ailean and onsai into LIKE MAGIC's staff solution — unified multi-channel guest messaging with AI agents answering, plus guest insights and staff handover."],["Data engineering","Proficient","Built LIKE MAGIC's event and data hub, the sink for every business event its services published: ingested into BigQuery for analytics, idempotent on the event id so a redelivery cannot double-count, and served back as a queryable event log. Earlier fed Credit Suisse's Master Data Repository from static source-code analysis and several source systems, and Flawa iQ's LoRaWAN telemetry into the ERP."],["Data governance","Competent","Built Credit Suisse's Master Data Repository so data stewards could be assigned and the golden-source distribution across the core systems mapped."],["Data modeling","Proficient","Built the canonical data model for UBS Wealth Management & Swiss Bank's enterprise data management (2009–2015)."],["Data protection (GDPR)","Competent","Ran LIKE MAGIC's GDPR compliance including the guardrail that no internal context trained external LLMs."],["Database design","Proficient","Worked with Oracle in UBS's DynaRep repository, MSSQL in the Swisscard rewrite and PostgreSQL with R2DBC/jOOQ across the LIKE MAGIC platform."],["DevOps","Expert","Established software-delivery processes and sustainable DevOps practices at 3AP and built LIKE MAGIC's production platform to DevOps standards on Google Cloud."],["Domain-driven design","Proficient","Cut LIKE MAGIC's platform along its 12 business domains — L0 concepts, L1 capabilities — so service and team boundaries followed the domain rather than the technical layering, and drove UBS Wealth Management & Swiss Bank's business architecture and capability modeling on EMF/Ecore for five years (2009–2015), where a canonical data model was what every interface contract in the division was defined against."],["Domain-specific language design","Expert","Built DynaRep's repository-based modeling tool and its code generators for UBS mainframe service interfaces (2004–2009) and defined data types, interfaces and service contracts platform-independently on EMF and Xtext (2009–2015)."],["Engineering leadership","Expert","Led the team building UBS Wealth Management & Swiss Bank's Eclipse-based tooling platform (2009–2015), then set the technology direction in two companies as co-founder — CTO at 3AP, Head of Technology at LIKE MAGIC — and owned the frame the engineering work happened in: the organizational structure and its roles, the reference architecture, the technology stack, the approvals every engagement had to pass, and the platform and AI budget. Carried that through 3AP's scale to about 70 people across two countries, and developed the technical leadership at LIKE MAGIC as it moved from a founding team to a 25-person product organization. Earlier at UBS, owned the Analysis & Design discipline in Wealth Management & Business Banking (2004–2009) and architected the SDLC toolchain that several hundred engineers across Wealth Management & Swiss Bank planned, built and released inside (2009–2015)."],["Enterprise architecture","Expert","Architected the Integration Architecture Tool Chain for UBS Wealth Management & Swiss Bank around a canonical data model with a central API and interface-portfolio repository (2009–2015)."],["Event streaming","Proficient","Built LIKE MAGIC's services as producers and consumers on Spring Cloud Stream over a Google Cloud Pub/Sub binder — bindings declared per service, transport swappable underneath — carrying 89M+ platform events a year, and ran Kafka as the streaming backbone of Conperi's processing pipeline."],["Event-driven architecture","Expert","Designed Aroov's event-driven backend on Google Cloud Pub/Sub and built the LIKE MAGIC platform on Pub/Sub as its event hub."],["FinOps","Proficient","Budget holder for LIKE MAGIC's cloud platform and AI tooling. Forecast and governed spend across dev, test and production, with consumption KPIs defined in the Mental Model and weekly actuals generated from the Google Cloud billing API, routed to owners by role when a threshold was breached. Held platform cost flat as volume grew to 89M+ events annually, through continuous database and code optimization."],["Frontend development (TypeScript, React)","Proficient","Owned Stay KooooK's front-to-back architecture including its React frontend and shipped LIKE MAGIC's React/TypeScript/MUI frontend."],["Identity and access management","Competent","Built zero-trust API boundaries into the LIKE MAGIC platform."],["Incident management","Proficient","Owned LIKE MAGIC's production cloud platform on Google Cloud — reliability, incident response and performance — for a multi-tenant SaaS serving 90+ customers and 430+ properties while it processed 89M+ platform events annually, with alerting driven by defined SLOs."],["Information security management","Competent","Built LIKE MAGIC's information-security management toward ISO 27001 (in progress), GDPR compliance and zero-trust API boundaries."],["Infrastructure as code","Competent","Built LIKE MAGIC's production platform as Infrastructure-as-Code on Google Cloud."],["Integration architecture","Expert","Owned AXA Health's complete integration architecture into Adcubum Syrius and integrated 3 PMS (Mews, Apaleo, Oracle OHIP), 15+ smart-lock systems and 3 AI communication vendors (d3x, ailean, onsai) at LIKE MAGIC."],["IoT architecture","Competent","Designed Flawa iQ's sensing and LoRaWAN connectivity and the backend ingesting device telemetry into the ERP (2018–2019)."],["IT governance","Expert","Ran delivery governance and technology-stack approvals at 3AP and set the role-based review process for the division's central interface-portfolio repository."],["IT strategy","Expert","Owned technology strategy and reference architecture as 3AP's CTO (2015–2022) then defined LIKE MAGIC's product and platform strategy across 12 business domains."],["Java","Expert","Built Java systems from UBS's DynaRep repository (2004–2009) to Spring Boot and WebFlux platforms at Swisscard, AXA, Aroov, Stay KooooK and LIKE MAGIC."],["Knowledge management","Proficient","Built the LIKE MAGIC Mental Model as the organization's shared context layer and established communities of practice at UBS (2004–2009)."],["Legacy modernization","Proficient","Architected DynaRep, generating COBOL and Java implementations for UBS mainframe service interfaces (2004–2009), and replaced Swisscard's proprietary SOAP data-integration layer (2015)."],["Machine learning","Familiar","Architected the pipeline, the labeling tool and the serving path for Conperi, 3AP's applied-research proof of concept with ZHAW for reading health-insurance invoices (2018–2020), and followed the modeling work closely enough to build the platform it needed — GPU training nodes, a labeled dataset where none existed, held-out evaluation reported per document rather than per line. The models themselves were ZHAW's."],["Mentoring and coaching","Proficient","Coached UBS project teams in the Analysis & Design methodology and built internal communities of practice (2004–2009), mentored engineers at 3AP as it scaled to about 70 people, and developed the technical leadership at LIKE MAGIC as it grew from 5 to 25."],["Microservices architecture","Expert","Authored 3AP's microservice reference architecture — event-driven, 12-factor, the service cut driven by business capability — and built AXA Health, Flawa iQ and Aroov to it (2015–2022). Carried it into LIKE MAGIC as the platform's own: booking, guest, profile, payment, door access, messaging, operation and analytics services, each contract-first, with every integrated vendor reached through its own connector and a fallback path behind the realtime one."],["MLOps","Competent","Set up Conperi's training and serving split — a training service, a registry versioning each model with the metadata to reproduce it, and a separate serving service so a model could be replaced without redeploying its consumers — on a GKE platform built from cluster creation up, with GPU nodes provisioned for training and a labeling tool feeding the dataset. It stayed a proof of concept: no model of this was ever operated in production, so nothing here covers drift, rollback or retraining."],["Model-driven engineering","Expert","Built UBS's DynaRep model-driven repository and code generator (MDSD, 2004–2009), the Eclipse-based Integration Architecture Tool Chain drawing on the cross-industry Eclipse Modeling Platform Working Group (2009–2015), and Credit Suisse's Eclipse-CDO Master Data Repository (2016). Presented the approach publicly at Eclipse Day Florence and Eclipse Finance Day 2012."],["Multi-tenant SaaS architecture","Proficient","Built and scaled LIKE MAGIC's multi-tenant hospitality SaaS platform, serving 90+ customers, 430+ properties and 16,000+ units across the DACH region as of 2026."],["Observability","Proficient","Instrumented LIKE MAGIC's production platform on Google Cloud Monitoring and Cloud Trace, with alerting driven by defined SLOs, across a multi-tenant SaaS processing 89M+ platform events annually. End-to-end traceability and continuous monitoring and alerting were architecture principles the services were built to, not instrumentation added afterward."],["Open-source stewardship","Proficient","Published CompanyGraph and GuestGraph as open core under Apache 2.0 — a license saying what is open and what could be paid for, conventions for a contributor, specs keeping the rejected alternatives beside the decisions, a release contract of tags and manifests so nothing depends on a moving target, and a reference instance an adopter can read (2026)."],["Organization design","Proficient","Defined the department-wide role model at UBS — each role with its tasks and the competencies it carried, put through a formal consultation before it took effect (2004–2009) — then shaped the technology organization at 3AP as it scaled to about 70 people including a near-shore team in Serbia, and at LIKE MAGIC as it grew to 25."],["Platform engineering","Expert","Architected the SDLC toolchain for UBS Wealth Management & Swiss Bank (Jira, Confluence, GitHub Enterprise, Maven, Jenkins, Sonar) and owned the LIKE MAGIC platform, serving 90+ customers as of 2026."],["Process orchestration","Expert","Owned the Camunda (Zeebe) orchestration of the guest journey at Stay KooooK and LIKE MAGIC, the subject of a published Camunda case study citing a 95% self-check-in rate and 7,000 process instances per month."],["Product discovery","Competent","Put CompanyGraph and GuestGraph up for scrutiny in the open, each with a talk, a billing model and a stated outcome including a clean no (2026)."],["Product management","Proficient","Defined and executed LIKE MAGIC's product and platform strategy across 12 business domains as co-founder and Head of Technology — API-first, with a managed public API and an event and data hub — on a platform that reached 90+ customers, 430+ properties and 16,000+ units."],["Public speaking","Proficient","Spoke at Eclipse MDD Day 2010 on models as the enterprise's first-class artifacts, at Eclipse Day Florence and Eclipse Finance Day in 2012 on model-driven engineering and interface conformance, at UBS-internal brown-bag sessions on modeling, toolchain and architecture (2009–2015), and at CamundaCon 2022 in Berlin on how SV Group became a SaaS business on Camunda."],["Requirements engineering","Expert","Owned the Analysis & Design discipline in UBS Wealth Management & Business Banking's RUP rollout (2004–2009) — replaced the division's proprietary engineering process with a market-standard one, developed its service- and data-modeling methodology in Rational Method Composer, led the project team of ten, and coached the division's teams into it. Writes a reviewed specification before every plan and build on CompanyGraph and GuestGraph."],["Site reliability engineering","Proficient","Owned site reliability engineering, incident management and performance for LIKE MAGIC's production cloud platform across three environments, with automated weekly reporting against defined thresholds."],["Software architecture","Expert","Owned Stay KooooK's complete front-to-back architecture on reactive Spring Boot WebFlux and took software-architect responsibility for UBS's DynaRep platform (2004–2009)."],["Software engineering","Expert","Built production systems across 25 years, from UBS's DynaRep repository (2004–2009) to LIKE MAGIC's Spring Boot WebFlux platform (2022–2026)."],["Software modeling (UML, SysML, C4)","Expert","Owned the Analysis & Design discipline in the Rational Unified Process rollout at UBS Wealth Management & Business Banking, developed its service-modeling methodology in Rational Method Composer and UML, and coached the division's project teams into it (2004–2009)."],["Software process engineering","Expert","Owned the Analysis & Design discipline in the Rational Unified Process and Enterprise Unified Process rollout at UBS Wealth Management & Business Banking, replacing the proprietary process with a market standard (2004–2009), then architected the division's SDLC toolchain (2009–2015)."],["Software testing","Proficient","Ran unit and integration tests as engineering practice rather than a phase after the build — new behavior covered at the level that catches its regression the next time the code is touched, rather than coverage as a number. Built the Swisscard rewrite that way on Jenkins and JUnit (2015–2016), then made it part of 3AP's delivery process across client engagements and of LIKE MAGIC's pipelines on GitHub Actions."],["Solution architecture","Expert","Led 3AP's client bids on solution architecture including public tenders under Swiss procurement law and designed Flawa iQ's RFID and LoRaWAN solution, delivered as 10 working prototypes."],["Solution selling","Proficient","Created technical concepts, proposals and pitches and led client bids including public tenders at 3AP, and presented the solution architecture in Aroov's winning pitch."],["Spec-driven development","Proficient","Built GuestGraph's identity-resolution engine and CompanyGraph — meta-model, tooling design and this reference instance — from written specifications, each reviewed before its plan and build, under conventions an agent pass enforces (2026)."],["Stakeholder management","Proficient","Advised clients including Credit Suisse, Swisscard, AXA and Mobiliar as 3AP's CTO and presented the solution architecture in the winning Aroov and Stay KooooK pitches."],["Technical writing","Expert","Wrote the Analysis & Design methodology and guidance a UBS division worked to (2004–2009), built the LIKE MAGIC Mental Model as the organization's written context layer, and wrote CompanyGraph's conventions, design specs and worked example — prose other people follow, for readers who were not in the room."],["Vendor management","Proficient","Ran LIKE MAGIC's AI and automation tooling as a managed portfolio — Claude Code per-seat team licenses, multi-provider tooling across Claude, Gemini and Copilot, and the build-versus-buy decision to self-host n8n on the platform's own Kubernetes rather than take the hosted service."]]}},{"heading":"Summary","text":"Technology executive with over 25 years building digital platforms, scaling engineering organizations and delivering complex transformation. Most recently co-founder and Head of Technology at LIKE MAGIC AG; previously CTO of 3AP AG, after 15 years at UBS AG, where I owned the engineering process and the toolchain several hundred engineers across the division worked inside. One thread runs through all of it: I build from explicit models rather than beside them — service contracts and a canonical data model at UBS, domains and capabilities at LIKE MAGIC. The newest turn is applying that to the company itself: LIKE MAGIC's Mental Model became the shared context layer for AI-assisted operations, and is now published as CompanyGraph. I believe AI is reshaping how we build software — moving the real constraint from “build fast” to “decide well” — and I bring business-critical platforms reliably into production under solid security and compliance standards (ISO 27001 in progress, GDPR / DSGVO).","tables":[]}],"owner":null,"path":"model/profiles/robert-blust/robert-blust.md"},{"id":"profiles/robert-blust/experiences/1999-ubs-trainee","type":"experience","name":"UBS IT-Developer Program","tagline":"Completed UBS's internal software-engineering program, the start of 15 years at UBS.","fields":{"source":"Local","kind":"Role","start":"1999-10","end":"2001-03","organization":"UBS AG"},"sections":[{"heading":"Achievements","text":"- Completed UBS's IT-Developer program: an eight-month course from October 1999, followed by a ten-month internship, graduating in March 2001.\n- Laid the foundation for nearly 14 further years and three roles within UBS Group IT.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/1999-ubs-trainee.md","stamp":{"kind":"Role","start":"1999-10","end":"2001-03"}},{"id":"profiles/robert-blust/experiences/2001-ubs-engineer","type":"experience","name":"Software Engineer / IT Developer","tagline":"Built UBS's intranet and internet web portals on IBM Portal Server, and led delivery of the WPS Portal application.","fields":{"source":"Local","kind":"Role","start":"2001-04","end":"2004-07","organization":"UBS AG","skills":["Java","Software engineering","Mentoring and coaching","Software architecture"]},"sections":[{"heading":"Achievements","text":"- Developed intranet and internet web portals on IBM Portal Server (Java Portlets, JSP, XML).\n- Led development and project delivery of the WPS Portal application, including its maintenance and extension.\n- Co-developed the ACE Foundation, the base that UBS Quotes and the Client Advisor Workbench were built on.\n- Onboarded Java developers onto the portal.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2001-ubs-engineer.md","stamp":{"kind":"Role","start":"2001-04","end":"2004-07"}},{"id":"profiles/robert-blust/experiences/2002-wirtschaftsinformatik-fh","type":"experience","name":"Business Information Systems UAS","tagline":"Studied business information systems part-time over four years, majoring in Technology Engineering.","fields":{"source":"Local","kind":"Education","start":"2002","end":"2006","organization":"AKAD University for Working Professionals","skills":["Model-driven engineering","Software architecture"]},"sections":[{"heading":"Achievements","text":"- Earned a four-year part-time degree awarded by the University of Applied Sciences of Argovia (Fachhochschule Aargau) and taught at AKAD, carrying the protected title Dipl. Wirtschaftsinformatiker FH.\n- Majored in Technology Engineering: software and web engineering, systems and network programming, IT management.\n- Combined computer science, business administration and project management.\n- Wrote the degree dissertation on Model-Driven Architecture (MDA) for component-based and service-oriented architecture (SOA).","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2002-wirtschaftsinformatik-fh.md","stamp":{"kind":"Education","start":"2002","end":"2006"}},{"id":"profiles/robert-blust/experiences/2004-ubs-solution-manager","type":"experience","name":"Solution Manager, Software Engineering — Analysis & Design","tagline":"Owned the Analysis & Design discipline in the software development life cycle rollout for UBS Wealth Management & Business Banking — RUP and EUP based — and architected DynaRep, the model-driven repository behind the division's mainframe service interfaces.","fields":{"source":"Local","kind":"Role","start":"2004-08","end":"2009-09","organization":"UBS AG","skills":["Software modeling (UML, SysML, C4)","Knowledge management","Change management","Organization design","Mentoring and coaching","Community building","Software process engineering","Requirements engineering","Java","Model-driven engineering","Domain-specific language design","Software architecture","Integration architecture","Legacy modernization","Database design"]},"sections":[{"heading":"Achievements","text":"- Owned the Analysis & Design discipline in the rollout of a software development life cycle based on the Rational Unified Process and the Enterprise Unified Process for UBS Wealth Management & Business Banking (WM&BB), replacing the proprietary engineering process with a market-standard one that the division's project teams then worked to.\n- Developed methodology and guidance for service and data modeling (Rational Method Composer, UML) — how a requirement was elicited, written and carried into a design the delivery teams worked from.\n- Architected and built “DynaRep – Dynamic Repository”, a repository-based modeling tool for managing UBS mainframe service interfaces — Eclipse plugins, web services and code generators producing the COBOL/Java service implementations (Java, SOAP, Oracle, MDSD).\n- Took on software-architect and project-management responsibility for the DynaRep platform, leading its project team of ten.\n- Defined the department-wide role model — each role with its tasks and the competencies it carried — and put it through a formal consultation before it took effect.\n- Worked with the Eclipse Modeling project from inside the methodology work — bringing requirements to it, reviewing concepts and building prototypes — and the cross-industry working group grew out of that cooperation.\n- Joined the division's Java Chief Developer committee and led it for two years.\n- Coached project teams in applying the methodology and built internal communities of practice.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2004-ubs-solution-manager.md","stamp":{"kind":"Role","start":"2004-08","end":"2009-09"}},{"id":"profiles/robert-blust/experiences/2009-ubs-architect","type":"experience","name":"IT Architect — Software Development Lifecycle Toolchain","tagline":"Architected the integration and SDLC toolchains for UBS Wealth Management & Swiss Bank, and drove the division's business architecture and capability modeling on EMF/Ecore.","fields":{"source":"Local","kind":"Role","start":"2009-10","end":"2015-01","organization":"UBS AG","skills":["Enterprise architecture","Business architecture","Domain-driven design","Agile delivery","Model-driven engineering","Domain-specific language design","Integration architecture","API design","Data modeling","IT governance","Platform engineering","Software process engineering","Public speaking","Community building"]},"sections":[{"heading":"Achievements","text":"- Architected the SDLC toolchain for UBS Wealth Management & Swiss Bank — the environment several hundred engineers across the division planned, built and released in (Jira, Confluence, GitHub Enterprise, Maven, Jenkins, Sonar), including the offshore-capable setup for decentralized agile development and its security and network design for external partner access.\n- Created the application architecture of the Integration Architecture Tool Chain for the division, built to reduce large numbers of point-to-point connections to an integration bus over defined concepts and open interface standards.\n- Cut it into three parts along the roles that used it: the canonical data model and the conformance measurement, both for the business domain architects who governed that model, and interface design for the developers and software architects who specified their interfaces against it.\n- The data model part held the canonical model itself and the platform-independent definitions of data types, interfaces and service contracts, generated the XML-Schema and WSDL artifacts from them, kept the central API and interface-portfolio repository, and ran the role-based review every team's interfaces had to pass.\n- The conformance part analyzed source code across the estate, the mainframe included, producing EMF graphs held in the CDO model repository and an automated metric for the technical coupling of software components and applications, which identified interactions between subsystems not conforming to the architecture's specifications.\n- Built the whole on Eclipse EMF, Xcore, Xtext and Xtend with a CDO model repository, drawing on outcomes from the Eclipse Modeling Platform Working Group.\n- Managed the tool portfolio supporting the software development process.\n- Drove the division's business architecture and capability modeling on EMF/Ecore, representing UBS internationally in the Eclipse Modeling Platform Working Group alongside Airbus, Ericsson, Alcatel-Lucent, SBB and SWIFT among others.\n- Co-organized the Eclipse events that brought the open-source modeling community to UBS in Zürich — MDD Day in 2010, then the Eclipse Finance Days, the Swiss forum for cross-company exchange on open source in financial services, in 2012 and 2014.\n- Built UBS's network into open-source communities and their standards, assessing where the firm could adopt them.\n- Continued on the division's Java Chief Developer committee, co-leading it for five years — the forum in which its lead engineers set common practice.\n- Led the team that implemented the tooling platform, an integrated Eclipse Modeling Framework stack built for model-based engineering, scalability and collaboration.\n- Scrum Master and technical lead in central WM&SB initiatives.\n- Spoke at UBS-internal brown-bag sessions on modeling, toolchain and architecture.","tables":[]},{"heading":"Ending","text":"Left in January 2015 after 15 years and four roles — the IT-Developer program, engineering, methodology, then architecture.\nEnough to back myself as a founder, and probably a little naive about what founding takes; I\nwanted to find out. We had founded 3AP that November; I went operative there the month after.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2009-ubs-architect.md","stamp":{"kind":"Role","start":"2009-10","end":"2015-01"}},{"id":"profiles/robert-blust/experiences/2010-eclipse-mdd-day","type":"experience","name":"Conference Speaker — Eclipse MDD Day 2010, Zürich","tagline":"Co-organized Eclipse MDD Day, brought it to UBS in Zürich-Altstetten and spoke on models as the enterprise's first-class artifacts.","fields":{"source":"Local","kind":"Community","start":"2010-10-28","end":"2010-10-28","url":"https://wiki.eclipse.org/Eclipse_MDD_Day","organization":"Eclipse Foundation","skills":["Model-driven engineering","Public speaking","Community building"]},"sections":[{"heading":"Achievements","text":"- Co-organized Eclipse MDD Day on 28 October 2010 and hosted it at UBS in Zürich-Altstetten, with itemis co-supporting — the first of the Eclipse events brought to UBS.\n- Presented “User Story: Models as First Class Citizens in the Enterprise”, on a program with Ed Merks (EMF project lead), Sven Efftinge (Xtext project lead), Eike Stepper (CDO project lead), and practitioners from SAP, Robert Bosch, RWE and Nord/LB.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2010-eclipse-mdd-day.md","stamp":{"kind":"Community","start":"2010-10-28","end":"2010-10-28"}},{"id":"profiles/robert-blust/experiences/2010-eclipse-modeling-platform","type":"experience","name":"Eclipse Modeling Platform Working Group","tagline":"Represented UBS in the Eclipse Foundation's cross-industry initiative to build an open-source modeling toolchain.","fields":{"source":"Local","kind":"Community","start":"2010-03","end":"2011-08","url":"https://wiki.eclipse.org/ModelingPlatform/","organization":"Eclipse Foundation","skills":["Model-driven engineering","Community building"]},"sections":[{"heading":"Achievements","text":"- Represented UBS in a cross-industry Eclipse Foundation initiative to build an integrated, open-source modeling toolchain — contributing alongside Airbus, Alcatel-Lucent, Atos, CEA LIST, Ericsson, Euranova, Fraunhofer FOKUS, Geensys, Generic Concept, itemis, Obeo, SBB and SWIFT.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2010-eclipse-modeling-platform.md","stamp":{"kind":"Community","start":"2010-03","end":"2011-08"}},{"id":"profiles/robert-blust/experiences/2011-jugs-board","type":"experience","name":"Board Member — Swiss Eclipse User Group","tagline":"Served on the board of the Swiss Eclipse User Group within JUG Switzerland.","fields":{"source":"Local","kind":"Community","start":"2011-08","end":"2014-12","url":"https://www.jug.ch/","organization":"JUG Switzerland","skills":["Community building"]},"sections":[{"heading":"Achievements","text":"- Board member of the Swiss Eclipse User Group — the Eclipse Special Interest Group within JUG Switzerland — from 2011 to 2014.\n- Co-organized the annual Eclipse DemoCamp (Zürich) and Eclipse Finance Day.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2011-jugs-board.md","stamp":{"kind":"Community","start":"2011-08","end":"2014-12"}},{"id":"profiles/robert-blust/experiences/2012-talk-eclipse-day-florence","type":"experience","name":"Conference Speaker — Eclipse Day Florence 2012","tagline":"Spoke at Eclipse Day Florence in May 2012 on data modeling at enterprise scale.","fields":{"source":"Local","kind":"Community","start":"2012-05-04","end":"2012-05-04","url":"https://www.youtube.com/watch?v=53jrNcbd5N0","organization":"Eclipse Foundation","skills":["Data modeling","Model-driven engineering","Public speaking"]},"sections":[{"heading":"Achievements","text":"- Presented “Eclipse Data Modeling at an Enterprise Scale” at Eclipse Day Florence on 4 May 2012, co-presented with Eike Stepper, lead of the Eclipse CDO project.\n- Covered the conformance half of the work as well as the modeling: source-code analysis rendered as EMF graphs, checked against the architecture's rules for interactions that broke a defined boundary.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2012-talk-eclipse-day-florence.md","stamp":{"kind":"Community","start":"2012-05-04","end":"2012-05-04"}},{"id":"profiles/robert-blust/experiences/2012-talk-eclipse-finance-day","type":"experience","name":"Conference Speaker — Eclipse Finance Day 2012, Zürich","tagline":"Spoke at Eclipse Finance Day in October 2012 on interface management in a large enterprise.","fields":{"source":"Local","kind":"Community","start":"2012-10-16","end":"2012-10-16","url":"https://wiki.eclipse.org/Eclipse_Finance_Day_2012/","organization":"Eclipse Foundation","skills":["Integration architecture","Software modeling (UML, SysML, C4)","Public speaking"]},"sections":[{"heading":"Achievements","text":"- Presented “Interface Management in a Large Enterprise” at Eclipse Finance Day on 16 October 2012 in Zürich, on UBS's Integration Architecture initiative: an end-to-end process and tooling to identify, specify, design and govern the interfaces between parts of the IT system.\n- The published abstract describes what the toolchain did: capture actual communication patterns through source-code analysis, produce EMF-based graphs that identify non-conformant interactions, hold platform-independent data types and interface specifications with policies, check conformance to architectural rules, generate XML-Schema and WSDL, and run governance through a central repository with role-based reviews.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2012-talk-eclipse-finance-day.md","stamp":{"kind":"Community","start":"2012-10-16","end":"2012-10-16"}},{"id":"profiles/robert-blust/experiences/2013-talk-eclipse-finance-day","type":"experience","name":"Conference Speaker — Eclipse Finance Day 2013, Zürich","tagline":"Spoke at Eclipse Finance Day in November 2013 on the UBS Integration Architecture Tool Chain.","fields":{"source":"Local","kind":"Community","start":"2013-11-05","end":"2013-11-05","url":"https://wiki.eclipse.org/Eclipse_Finance_Day_2013/","organization":"Eclipse Foundation","skills":["Integration architecture","Enterprise architecture","Public speaking"]},"sections":[{"heading":"Achievements","text":"- Presented “UBS Integration Architecture Tool Chain” at Eclipse Finance Day on 5 November 2013 at the Credit Suisse Tower in Zürich — the integration and interface toolchain built for UBS Wealth Management & Swiss Bank.\n- Where the 2012 talk was the initiative, this one was the toolchain's design: coarse-grained interfaces defined and maintained platform-independently with code generators producing the platform-specific implementations, a clear separation of interface definition from implementation from instantiation, versioning and ownership and cross-references as properties of the artifacts themselves, and continuous integration over the models.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2013-talk-eclipse-finance-day.md","stamp":{"kind":"Community","start":"2013-11-05","end":"2013-11-05"}},{"id":"profiles/robert-blust/experiences/2014-eclipse-finance-day-organizer","type":"experience","name":"Conference Organizer — Eclipse Finance Day 2014, Zürich","tagline":"Co-organized Eclipse Finance Day 2014 for the JUG Swiss Eclipse User Group and hosted it at UBS.","fields":{"source":"Local","kind":"Community","start":"2014-10","end":"2014-10","url":"https://wiki.eclipse.org/Eclipse_Finance_Day_2014/","organization":"Eclipse Foundation","skills":["Community building"]},"sections":[{"heading":"Achievements","text":"- Co-organized Eclipse Finance Day on 31 October 2014 for the JUG Swiss Eclipse User Group, alongside Matthias Zimmermann of BSI and Serano Colameo of itemis.\n- Brought the conference to UBS in Zürich Altstetten, giving Swiss financial institutions a venue to compare open-source practice.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2014-eclipse-finance-day-organizer.md","stamp":{"kind":"Community","start":"2014-10","end":"2014-10"}},{"id":"profiles/robert-blust/experiences/2015-3ap","type":"experience","name":"Co-Founder & CTO","tagline":"Co-founded 3AP AG and owned technology strategy and delivery governance as CTO while the company scaled from 5 to about 70 people.","fields":{"source":"Local","kind":"Role","start":"2015-02","end":"2022-03","organization":"3AP AG","skills":["IT strategy","IT governance","Engineering leadership","Stakeholder management","Consulting","Solution architecture","Microservices architecture","DevOps","Software testing","Company vision and strategy","Mentoring and coaching","Solution selling","Organization design","Software architecture","Event-driven architecture"]},"sections":[{"heading":"Achievements","text":"- Co-founded 3AP AG in November 2014 and went operative in February 2015 after leaving UBS; member of the management team.\n- The company scaled from 5 to about 70 people, including a near-shore team in Serbia.\n- Owned technology strategy, reference architecture and delivery governance.\n- Set the reference architecture and technology stack every client engagement had to fit, and joined the ramp-up of each new project to negotiate with the client's security and platform organizations so the delivery fit their environment.\n- Wrote that reference architecture as an event-driven, 12-factor microservice design with the service cut driven by business capability — the shape AXA Health, Flawa iQ and Aroov were each built to, and the one the hospitality platform carried into LIKE MAGIC.\n- Delivered flagship client platforms as lead architect and hands-on engineer across insurance, real-estate, IoT and hospitality.\n- One of them, the SV Group hospitality platform, became LIKE MAGIC — a spin-off from SV Group.\n- Created technical concepts, proposals and pitches.\n- Advised clients including Credit Suisse, Swisscard, AXA and Mobiliar (the driver behind Aroov).\n- Led client bids with a focus on solution architecture, across both public and private sector — including public tenders under Swiss procurement law / WTO rules.\n- Mentored the engineers as the company grew from 5 to about 70, the near-shore team in Serbia included.\n- Established software-delivery processes, technology-stack approvals and sustainable DevOps practices.\n- Made unit and integration tests part of how a feature was finished rather than a phase after it — new behavior covered at the level that catches its regression the next time the code is touched, which is where the coverage earns its keep.","tables":[]},{"heading":"Ending","text":"Left in March 2022 after seven years. Seven years of client platforms had settled what I wanted\nnext: to lead technology in a product company, and to stay with one product long enough to see\nit through. The SV Group hospitality platform spinning out as LIKE MAGIC was that chance.","tables":[]},{"heading":"References","text":"","tables":[{"caption":null,"columns":["What","URL"],"rows":[["Commercial register entry","https://www.zefix.ch/en/search/entity/list/firm/1201727"]]}],"table":{"caption":null,"columns":["What","URL"],"rows":[["Commercial register entry","https://www.zefix.ch/en/search/entity/list/firm/1201727"]]}}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2015-3ap.md","stamp":{"kind":"Role","start":"2015-02","end":"2022-03"}},{"id":"profiles/robert-blust/experiences/2015-swisscard-data-integration","type":"experience","name":"Swisscard — Data Integration Services Rewrite","tagline":"3AP · Backend Engineer.","fields":{"source":"Local","kind":"Project","start":"2015-12","end":"2016-09","organization":"Swisscard","skills":["API design","Java","Software testing","Database design","CI/CD","Legacy modernization"]},"sections":[{"heading":"Achievements","text":"- One of 3AP's first client mandates: replaced a proprietary Informatica Data Services SOAP layer fronting the core platform with a Spring Boot / Spring WS implementation — preserving the existing WSDL contract so no consumer had to change.\n- Built on Spring Boot / Spring Data / Spring WS with Jenkins, JUnit and MSSQL.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2015-swisscard-data-integration.md","stamp":{"kind":"Project","start":"2015-12","end":"2016-09"}},{"id":"profiles/robert-blust/experiences/2015-swisscom-agile-cockpit","type":"experience","name":"Swisscom — Agile Delivery Cockpit","tagline":"3AP · Integration Architect & Engineer.","fields":{"source":"Local","kind":"Project","start":"2015-09","end":"2015-11","organization":"Swisscom","skills":["Integration architecture","Java","API design","Software engineering"]},"sections":[{"heading":"Achievements","text":"- Early 3AP client mandate for Swisscom: as integration architect and developer, built a real-time cockpit that surfaces agile delivery status on a TV dashboard.\n- Integrated and aggregated data from Rally (agile ALM) and HP Quality Center (test management) via MuleSoft (Mule ESB): the Agile Release Train broken down into sprints per project/team, and test coverage against Quality Center.\n- Built with MuleSoft and the Rally and Quality Center REST/SOAP APIs plus a dashboard front end.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2015-swisscom-agile-cockpit.md","stamp":{"kind":"Project","start":"2015-09","end":"2015-11"}},{"id":"profiles/robert-blust/experiences/2016-credit-suisse-mdr","type":"experience","name":"Credit Suisse — Master Data Repository","tagline":"3AP · Lead Architect & Developer.","fields":{"source":"Local","kind":"Project","start":"2016-02","end":"2016-09","organization":"Credit Suisse","skills":["Model-driven engineering","Data governance","Data engineering","Solution architecture","Software architecture"]},"sections":[{"heading":"Achievements","text":"- Built the Master Data Repository (MDR) for Credit Suisse Client Data Management — managing data items and classifying their source systems so data stewards could be assigned, and mapping the distribution of data across the core systems (golden source vs. slave), identified and visualized for governance.\n- Delivered to satisfy a FINMA regulatory requirement.\n- Implemented on Eclipse CDO (EMF model repository) with an Angular frontend; CDO fed by static source-code analysis and multiple data sources to discover and connect the model.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2016-credit-suisse-mdr.md","stamp":{"kind":"Project","start":"2016-02","end":"2016-09"}},{"id":"profiles/robert-blust/experiences/2016-safe-practitioner","type":"experience","name":"Certified SAFe 4 Practitioner","tagline":"Certified SAFe 4 Practitioner and SAFe 4 for Teams, Scaled Agile, Inc.","fields":{"source":"Local","kind":"Education","start":"2016-10","end":"2016-10","organization":"Scaled Agile, Inc.","skills":["Agile delivery"]},"sections":[{"heading":"Achievements","text":"- Completed the SAFe 4.0 for Teams course and passed the SAFe Practitioner certification, effective 18 October 2016 (certificate 28616437–8064).\n- The certification was valid through 18 October 2017 and was not renewed; the practice it taught still informs how I run delivery.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2016-safe-practitioner.md","stamp":{"kind":"Education","start":"2016-10","end":"2016-10"}},{"id":"profiles/robert-blust/experiences/2017-axa-health-platform","type":"experience","name":"AXA Health — Digital Insurance Platform","tagline":"3AP · Lead Architect & Backend Engineer, about two years hands-on.","fields":{"source":"Local","kind":"Project","start":"2017-07","end":"2019-05","url":"https://3ap.ch/case_studies/digitale-gesundheitsplattform/","organization":"AXA Health","skills":["API design","Java","Integration architecture","Microservices architecture","Frontend development (TypeScript, React)","Solution architecture","Software architecture"]},"sections":[{"heading":"Achievements","text":"- A digital-first self-service platform for complementary health insurance — customers and brokers configure products, calculate quotes and purchase policies across two integrated apps over one backend.\n- Built its signature automated health-insurer switching service: AXA sells only complementary insurance, not the mandatory basic insurance (which, by Swiss law, every resident must hold and no insurer may refuse). The service compares basic-insurance premiums each year and automatically moves AXA's complementary-insurance customers to the cheapest basic insurer — saving about CHF 426 per year on average, with AXA taking no basic-insurance commission to keep the advice neutral.\n- Owned the complete integration architecture and its implementation, including the integration with the core insurance system Adcubum Syrius.\n- Built the Java/Spring Boot and Node.js backend with GraphQL APIs, to 3AP's microservice reference architecture.\n- Built the React/Next.js frontend on OpenShift.\n- Placed 3rd at the 2017 Swiss Insurance Innovation Prize.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2017-axa-health-platform.md","stamp":{"kind":"Project","start":"2017-07","end":"2019-05"}},{"id":"profiles/robert-blust/experiences/2018-conperi-automated-claims","type":"experience","name":"Conperi — Automated Claims Processing","tagline":"3AP · Architect — the platform, the labeling tool and the serving path, in an applied-research project with ZHAW.","fields":{"source":"Local","kind":"Project","start":"2018-11","end":"2020-10","organization":"3AP AG","skills":["Solution architecture","Cloud architecture","Container orchestration (Kubernetes)","Platform engineering","MLOps","Machine learning","Event streaming"]},"sections":[{"heading":"Achievements","text":"- An applied-research proof of concept for AXA Health: reading scanned invoices well enough to process a health-insurance claim without a person retyping it, built by 3AP with ZHAW as research partner.\n- Architected the processing pipeline as Kafka-streamed services — region detection over the scanned page, extraction of what was found, classification of the extracted positions, and a quality gate before anything downstream trusted the result.\n- Built and ran the platform underneath it on Google Kubernetes Engine, from cluster creation to the Kafka backbone, the document store, distributed tracing, the OAuth gateway in front of the services, and GPU nodes in the one region that had them so models could be trained where the data already was.\n- Built the labeling tool that made training possible: a browser application for drawing regions over an invoice and naming what each one held. Labeled invoices were the bottleneck the whole project ran into, and none existed before this.\n- Set up the training and serving split around the models — a service that trains, a registry that versions each model with the metadata to reproduce it, and a separate service that serves the chosen version — so a model could be replaced without redeploying what consumed it.\n- ZHAW made the modeling calls. The computer-vision work and the classifier that read a claim's positions were theirs; the pipeline they ran inside, the data that fed them and the path their output took to a consumer were 3AP's.\n- Ended as a proof of concept, which is what the funding instrument is for. Nothing from it went into production at AXA.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2018-conperi-automated-claims.md","stamp":{"kind":"Project","start":"2018-11","end":"2020-10"}},{"id":"profiles/robert-blust/experiences/2018-flawa-iq","type":"experience","name":"Flawa iQ — Networked First-Aid Kit","tagline":"3AP · Solution Architect — IoT sensing & connectivity.","fields":{"source":"Local","kind":"Project","start":"2018-07","end":"2019-02","url":"https://3ap.ch/case_studies/networked-first-aid-kit/","organization":"Flawa","skills":["Integration architecture","Solution architecture","Microservices architecture","IoT architecture","Data engineering","Cloud architecture","API design"]},"sections":[{"heading":"Achievements","text":"- An IoT first-aid kit for FLAWA AG that keeps itself stocked and compliant — Swiss firms are legally required to maintain first-aid supplies, so the kit detects missing or expired modules in real time and automatically triggers reordering, removing manual checks.\n- Ran the initial sensing research — how to detect the absence of an item within a defined volume — and selected RFID-tagged modules as the approach.\n- Evaluated the connectivity options (LoRaWAN vs. GSM); built the MVP on Swisscom's LoRaWAN network, with GSM selected for the later production version.\n- Together with comtac AG (a canton-St.-Gallen LoRaWAN electronics specialist), delivered an MVP of 10 working prototypes (RFID modules + LoRaWAN, backend on Google Cloud).\n- Built the backend that ingests device telemetry from Swisscom's LoRaWAN broker, plus an API feeding the data into the ERP — closing the loop so consumed or expired modules trigger automatic reordering, to 3AP's microservice reference architecture.\n- Won the “smart IoT” Award 2021, University of St. Gallen: https://flawa-iq.ch/de/blog/flawa-gewinnt-smart-iot-award","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2018-flawa-iq.md","stamp":{"kind":"Project","start":"2018-07","end":"2019-02"}},{"id":"profiles/robert-blust/experiences/2019-aroov-realestate","type":"experience","name":"Aroov — Digital Rental Platform","tagline":"3AP · Backend & Integration Architect.","fields":{"source":"Local","kind":"Project","start":"2019-08","end":"2020-09","url":"https://3ap.ch/case_studies/platform-for-digital-rental/","organization":"Aroov","skills":["Cloud architecture","Container orchestration (Kubernetes)","Event-driven architecture","Microservices architecture","Java","Integration architecture","Solution selling","Stakeholder management","Solution architecture"]},"sections":[{"heading":"Achievements","text":"- Digital rental platform — applicants apply for apartments in a few clicks; property managers get automated workflows and radically simpler applicant communication.\n- Founded by Mobiliar and Garaio REM (2019), merged with market leader flatfox.ch (2021).\n- Created the backend architecture — 3AP's microservice reference architecture in its event-driven form, on Google Cloud (Spring Boot, Kubernetes/GKE, Cloud Pub/Sub).\n- Designed the integration architecture connecting Aroov to Garaio REM, one of Switzerland's leading property-management systems (and an Aroov co-founder).\n- Presented the solution architecture in the winning sales pitch.\n- Placed in the Top 4 for the Digital Real Estate Award 2021.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2019-aroov-realestate.md","stamp":{"kind":"Project","start":"2019-08","end":"2020-09"}},{"id":"profiles/robert-blust/experiences/2020-stay-koook","type":"experience","name":"Stay KooooK — Digital Hospitality Platform","tagline":"3AP · Lead Architect (front-to-back) & Integrations.","fields":{"source":"Local","kind":"Project","start":"2020-03","end":"2022-03","url":"https://3ap.ch/case_studies/hospitality-platform/","organization":"SV Group","skills":["Cloud architecture","Container orchestration (Kubernetes)","Process orchestration","Business process modeling (BPMN, DMN)","Java","Frontend development (TypeScript, React)","Database design","Integration architecture","Software architecture","Stakeholder management","Solution architecture","Event-driven architecture","Microservices architecture"]},"sections":[{"heading":"Achievements","text":"- A digital hospitality platform for SV Group (“Stay KooooK”) putting the entire guest journey in one app — book, pay, check in, open the room, check out — replacing manual reception and paper processes (a 63-room hotel runs on just 2.4 FTE, ex-housekeeping).\n- Owned the complete architecture, front to back: React frontend; reactive Spring Boot WebFlux / Spring Cloud backend; Camunda (Zeebe) process orchestration; Google Cloud, Kubernetes, PostgreSQL and Pub/Sub.\n- Built the integrations into Apaleo PMS and Salto KS smart-door access.\n- Presented the solution architecture at the winning pitch.\n- Won Best Use of Technology at the Serviced Apartment Awards 2021; was nominated for the Best Swiss Web Award 2021 (Innovation).\n- The platform became LIKE MAGIC, a spin-off from SV Group — the point at which I left 3AP to co-found and build it up.\n- As likeMagic, the platform won gold for Best Digital Transformation and silver for Customer Driven Business Change and Transformation at the European Customer Experience Awards 2022: https://www.hocoso.com/asset-management/its-not-imagination-its-likemagic/","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2020-stay-koook.md","stamp":{"kind":"Project","start":"2020-03","end":"2022-03"}},{"id":"profiles/robert-blust/experiences/2022-likemagic","type":"experience","name":"Co-Founder & Head of Technology","tagline":"Built and ran the SaaS hospitality platform behind 90+ customers and 16,000+ units across DACH.","fields":{"source":"Local","kind":"Role","start":"2022-04","end":"2026-05","organization":"LIKE MAGIC AG","skills":["Agentic AI development","AI tool integration (MCP)","Context engineering","Conversational AI","AI strategy","AI governance","API design","Business architecture","Domain-driven design","Multi-tenant SaaS architecture","Microservices architecture","Cloud architecture","Container orchestration (Kubernetes)","Platform engineering","Database design","Integration architecture","Event-driven architecture","Identity and access management","Information security management","Data protection (GDPR)","Infrastructure as code","CI/CD","DevOps","Java","Software engineering","Software testing","Process orchestration","Business process modeling (BPMN, DMN)","Engineering leadership","IT strategy","Product management","Frontend development (TypeScript, React)","Event streaming","Data engineering","Knowledge management","Site reliability engineering","Observability","FinOps","Vendor management","Incident management","Change management","Mentoring and coaching","Company vision and strategy","Organization design"]},"sections":[{"heading":"Achievements","text":"- Co-founder and Head of Technology of LIKE MAGIC AG.\n- Owned the technology direction and developed the technical leadership as the company grew from 5 to 25 people.\n- Built and scaled a multi-tenant hospitality SaaS platform serving 90+ customers, 430+ properties and 16,000+ units across the DACH region — processing 1.5M+ reservations, 8.1M+ guest communications and 89M+ platform events annually, integrating 3 PMS (Mews, Apaleo, Oracle OHIP) and 15+ smart-lock systems into a unified guest experience.\n- Developed and executed the company-wide AI strategy — governance under a Human Oversight principle, organizational knowledge management and the productive rollout of AI assistants across plan, change and run; data-privacy guardrails (no internal context used to train external LLMs), multi-provider tooling (Claude, Gemini, Copilot, n8n) and cost governance.\n- Defined and executed the product and platform strategy across 12 business domains (L0 concepts, L1 capabilities) — API-first, with a managed public API and event/data hub, evolving toward an MCP-server layer so AI agents consume the platform directly.\n- Cut the platform into services by business capability — booking, guest, profile, payment, door access, messaging, operation and analytics — each stateless, self-contained, horizontally scalable and contract-first, with every integrated vendor reached through its own connector carrying a fallback path behind the realtime one.\n- Drove process orchestration with Camunda for the end-to-end guest journey (Booking → Check-in → Stay → Check-out).\n- Featured in a Camunda reference case citing a 95% self-check-in rate, 9.0/10 guest happiness and 7,000 process instances per month.\n- Owned the production cloud platform (site reliability engineering, incident management, performance), built as Infrastructure-as-Code on Google Cloud with DevOps and CI/CD standards, unit and integration tests running on every pipeline.\n- Instrumented it on Cloud Monitoring and Cloud Trace with alerting driven by defined SLOs, end-to-end traceability and continuous monitoring being architecture principles the services were built to rather than instrumentation added afterward.\n- Built the LIKE MAGIC Mental Model — a structured organizational knowledge base (roles, processes, features, strategies, architecture decisions) that serves as the shared context layer for AI-assisted operations.\n- Kept it in step with the systems it described through MCP rather than bespoke integrations — Atlassian, Google Drive and Slack servers wired into the agent that maintained it, reading and writing Confluence pages, Jira issues, Google Docs and Sheets, each command scoped to a named allowlist of the tools it was allowed to call.\n- Built an internal AI marketplace on Claude (Claude Cowork) — giving teams governed access to AI assistants and agents, grounded in the Mental Model.\n- Architected the integration of AI communication vendors (d3x, ailean and onsai) into the staff solution — unified multi-channel guest messaging with AI agents answering, guest insights and staff collaboration.\n- Budget holder for the cloud platform and AI tooling — forecast and governed spend across dev, test and production, with consumption KPIs defined in the Mental Model and weekly actuals generated automatically from the Google Cloud billing API, routed to owners by role when a threshold was breached.\n- Held platform cost flat as volume grew to 89M+ events annually, through continuous database and code optimization.\n- Built information-security management: ISO 27001 (in progress), GDPR compliance and zero-trust API boundaries.\n- Published and consumed the platform's events through Spring Cloud Stream over a Pub/Sub binder, so a service declared its bindings and the transport stayed swappable underneath them.\n- Built the event and data hub every service published its business events to — ingesting them into BigQuery for analytics, idempotent on the event id so a redelivery cannot double-count, and serving them back as a queryable event log with webhook subscriptions for systems that needed them pushed.\n- Tech stack: Java, Spring Boot / WebFlux, Spring Cloud GCP, Spring Cloud Stream, PostgreSQL, R2DBC/jOOQ, Google Pub/Sub, BigQuery, GraphQL, React / TypeScript / MUI, Kubernetes (GKE), Camunda BPMN, GitHub Actions.","tables":[]},{"heading":"Ending","text":"Left in May 2026 after four years, with the platform mature at 90+ customers and 16,000+ units,\nto focus on where my own work was heading: modeling and AI, built in the open.","tables":[]},{"heading":"References","text":"","tables":[{"caption":null,"columns":["What","URL"],"rows":[["Commercial register entry","https://www.zefix.ch/en/search/entity/list/firm/1576900"]]}],"table":{"caption":null,"columns":["What","URL"],"rows":[["Commercial register entry","https://www.zefix.ch/en/search/entity/list/firm/1576900"]]}}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2022-likemagic.md","stamp":{"kind":"Role","start":"2022-04","end":"2026-05"}},{"id":"profiles/robert-blust/experiences/2022-talk-camundacon","type":"experience","name":"Conference Speaker — CamundaCon 2022, Berlin","tagline":"Co-presented at CamundaCon 2022 in Berlin on how SV Group became a SaaS business in six months on Camunda.","fields":{"source":"Local","kind":"Community","start":"2022-10-06","end":"2022-10-06","url":"https://page.camunda.com/talking-process-orchestration-with-likemagics-robert-blust","organization":"Camunda","skills":["Process orchestration","Public speaking"]},"sections":[{"heading":"Achievements","text":"- Co-presented *“From 'Intrapreneurs' to 'Entrepreneurs' in 6 months with user-centric innovation – Powered by Camunda”* with Markus Feller at CamundaCon 2022 in Berlin on 5–6 October 2022: how SV Group launched a new hotel brand through the crisis and turned it into a white-label SaaS business, LIKE MAGIC, on Camunda Platform 8. Session recordings: https://page.camunda.com/camundacon-2022-on-demand\n- Featured in Camunda's video *“Talking Process Orchestration with likeMagic's Robert Blust”*.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2022-talk-camundacon.md","stamp":{"kind":"Community","start":"2022-10-06","end":"2022-10-06"}},{"id":"profiles/robert-blust/experiences/2023-camunda-case-study","type":"experience","name":"Featured Case Study — LIKE MAGIC on Camunda","tagline":"Featured in Camunda's published case study on the SV Group hospitality platform behind Stay KooooK and LIKE MAGIC.","fields":{"source":"Local","kind":"Community","start":"2023-04","end":"2023-04","url":"https://camunda.com/case-studies/likemagic","organization":"Camunda","skills":["Process orchestration"]},"sections":[{"heading":"Achievements","text":"- Featured in Camunda's published case study “How SV Group launched an industry-disrupting platform in 6 months with Camunda” on the SV Group hospitality platform, cited there as “CTO of likeMagic” — the case study's own wording for a role whose title was Head of Technology.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2023-camunda-case-study.md","stamp":{"kind":"Community","start":"2023-04","end":"2023-04"}},{"id":"profiles/robert-blust/experiences/2026-career-break","type":"experience","name":"Career break — ideation and product building","tagline":"Ongoing. Two open-core ideas built and published in the open, while looking for the next role.","fields":{"source":"Local","kind":"Independent","start":"2026-06","skills":["Product discovery","Open-source stewardship","Technical writing","Company vision and strategy","Agentic AI development","Knowledge management","Context engineering","Public speaking","Solution selling","Spec-driven development","Requirements engineering","Software architecture"]},"sections":[{"heading":"Achievements","text":"- Designed and published CompanyGraph, a meta-model for describing\n  a company as a graph of Markdown — core vocabulary, conventions, a worked example, a\n  tooling design — and built this repository as its reference instance.\n- Built GuestGraph, an identity-resolution engine for hospitality:\n  deterministic and probabilistic matching, a guest graph and API, explainable and\n  reversible merges.\n- Published both ideas as open core with a billing model and a talk each, deck, PDF and audio\n  in German and English, and put them up for scrutiny to a professional network.\n- Built the product work and the applications with AI coding agents as the primary tool,\n  spec-driven — a reviewed specification before every plan and build — under written\n  conventions and agent-run validation.\n- Applied for roles across technology leadership and architecture, each application a tailored\n  dossier generated from one source CV.","tables":[]},{"heading":"References","text":"","tables":[{"caption":null,"columns":["What","URL"],"rows":[["Product","https://companygraph.io"],["Product","https://guestgraph.io"]]}],"table":{"caption":null,"columns":["What","URL"],"rows":[["Product","https://companygraph.io"],["Product","https://guestgraph.io"]]}}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2026-career-break.md","stamp":{"kind":"Independent","start":"2026-06","end":null}},{"id":"skills/agentic-ai-development","type":"skill","name":"Agentic AI development","tagline":"Building software systems in which an AI model plans and takes multi-step actions toward a goal, often using tools, with limited step-by-step human direction.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Design the goals, tools and guardrails an AI agent can use to complete a task autonomously.\nBuild the loop that lets the agent plan, act, observe results and adjust its next action. Test\nfor failure modes specific to autonomous behavior, such as getting stuck in loops or taking\nunintended actions, and add safeguards to contain them.","tables":[]}],"owner":null,"path":"model/skills/agentic-ai-development.md"},{"id":"skills/agile-delivery","type":"skill","name":"Agile delivery","tagline":"Running iterative, incremental delivery using frameworks such as Scrum, Kanban or SAFe to organize team work.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Facilitate the planning, review and retrospective events that structure iterative delivery.\nManage a backlog, track flow or velocity and remove impediments that block the team. Adapt the\nchosen framework's ceremonies and artifacts to fit the team and the scale of the work. Typical\ntools: Jira, Azure DevOps, Trello.","tables":[]}],"owner":null,"path":"model/skills/agile-delivery.md"},{"id":"skills/ai-governance","type":"skill","name":"AI governance","tagline":"The decision rights, policies and oversight under which a company uses AI.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Define who may deploy which kind of AI system for which purpose, and under what human\noversight. Set the guardrails for data use, model providers and cost, and the review that\nchecks they hold. Keep the record regulators and customers will ask for, and adjust the rules\nwhen the law or the technology changes.","tables":[]}],"owner":null,"path":"model/skills/ai-governance.md"},{"id":"skills/ai-strategy","type":"skill","name":"AI strategy","tagline":"Deciding where and how a company adopts AI, and the sequence, investment and capabilities that get it there.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Assess which business activities AI can change materially and which it cannot yet. Set the\ndirection for adoption across plan, change and run, with the platforms, data and skills it\nrequires. Choose between building, buying and partnering per use case, and revisit the choices\nas the models and the market move.","tables":[]}],"owner":null,"path":"model/skills/ai-strategy.md"},{"id":"skills/ai-tool-integration-mcp","type":"skill","name":"AI tool integration (MCP)","tagline":"Connecting AI models and agents to external tools, data sources and systems through a standardized protocol so the AI can take real actions.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Build or configure servers that expose a system's capabilities as tools an AI agent can call.\nDefine the interface, permissions and error handling for each exposed tool so the agent can use\nit safely. Test how the agent selects and sequences tool calls and adjust the tool definitions\nto make behavior more predictable. Typical tools: Model Context Protocol (MCP).","tables":[]}],"owner":null,"path":"model/skills/ai-tool-integration-mcp.md"},{"id":"skills/api-design","type":"skill","name":"API design","tagline":"Designing the interfaces that let software systems and services exchange data and functionality.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Define the resources, operations and data contracts an interface exposes and document them so\nconsumers can integrate against them. Make decisions about versioning, error handling and\nconsistency that keep the interface usable as it evolves. Review real usage patterns and\nfeedback from consumers to refine the design over time. Typical tools: REST, GraphQL, OpenAPI.","tables":[]}],"owner":null,"path":"model/skills/api-design.md"},{"id":"skills/business-architecture","type":"skill","name":"Business architecture","tagline":"Modeling an organization's capabilities, value streams and operating structures independent of the technology that supports them.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Identify and map the capabilities, value streams and organizational structures a business\nrelies on. Use those models to assess where capabilities are duplicated, missing or misaligned\nwith strategy. Connect the business view to technology and process decisions so investment\ntargets the right capabilities.","tables":[]}],"owner":null,"path":"model/skills/business-architecture.md"},{"id":"skills/business-process-modeling-bpmn-dmn","type":"skill","name":"Business process modeling (BPMN, DMN)","tagline":"Diagramming business processes and decision logic using standardized notations so they can be analyzed, communicated and automated.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Map process flows and decision rules using notations such as BPMN for process steps and DMN for\ndecision logic. Work with process owners to validate that the model reflects how work actually\nhappens rather than how it is assumed to happen. Use the resulting models to identify\ninefficiencies or to hand off to process automation tooling. Typical tools: BPMN, DMN, Camunda.","tables":[]}],"owner":null,"path":"model/skills/business-process-modeling-bpmn-dmn.md"},{"id":"skills/change-management","type":"skill","name":"Change management","tagline":"Planning and guiding an organization through the human side of a transition so new ways of working actually take hold.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Assess the impact of a change on affected groups and build a plan to communicate, train and\nsupport them through it. Identify sources of resistance and work with sponsors and managers to\naddress them. Track adoption after go-live and reinforce the change until it becomes the new\nnormal.","tables":[]}],"owner":null,"path":"model/skills/change-management.md"},{"id":"skills/ci-cd","type":"skill","name":"CI/CD","tagline":"Automating the build, test and release steps that take a code change from commit to running in an environment.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Configure pipelines that build and test code automatically on every change and gate progression\non those results. Automate packaging and deployment so releases happen consistently and can be\nrepeated or rolled back reliably. Monitor pipeline health and adjust stages as the codebase,\ntests or release process change. Typical tools: Jenkins, GitHub Actions, GitLab CI.","tables":[]}],"owner":null,"path":"model/skills/ci-cd.md"},{"id":"skills/cloud-architecture","type":"skill","name":"Cloud architecture","tagline":"Designing systems that run on cloud infrastructure, using its services and elasticity rather than fixed, self-managed hardware.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Select cloud services and design patterns that meet a system's scalability, resilience and cost\nrequirements. Design for elasticity, fault tolerance across availability zones or regions and\nsecure use of managed services. Review cost and usage patterns to right-size the architecture\nas workloads change. Typical tools: AWS, Azure, Google Cloud Platform.","tables":[]}],"owner":null,"path":"model/skills/cloud-architecture.md"},{"id":"skills/community-building","type":"skill","name":"Community building","tagline":"Making a place where practitioners teach each other, and keeping it alive after the founding energy is gone.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Start with a recurring occasion — a meetup, a working group, a community of practice — and a\nreason to come that is not you. Hand roles to members early so the group survives your\nabsence. Connect the community outward, to the projects, vendors and standards bodies it\ndepends on, and measure it by what members do for each other.","tables":[]}],"owner":null,"path":"model/skills/community-building.md"},{"id":"skills/company-vision-and-strategy","type":"skill","name":"Company vision and strategy","tagline":"Where a company is going and why, and the few bets that get it there.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Say what the company is for in a sentence people repeat without you. Choose the markets,\nproducts and capabilities it will commit to, and name the ones it will not. Turn the choice\ninto a plan with owners, money and dates, and read the market back into it every quarter.\nCarry the vision into hiring, funding and partnership conversations until it is the company's,\nnot the founders'.","tables":[]}],"owner":null,"path":"model/skills/company-vision-and-strategy.md"},{"id":"skills/consulting","type":"skill","name":"Consulting","tagline":"Advising clients or internal stakeholders on how to address a problem, drawing on structured analysis and outside perspective.","fields":{"source":"Local","group":"Advisory"},"sections":[{"heading":"In practice","text":"Diagnose a client's problem through structured analysis, interviews and data review. Develop\nand present recommendations, weighing options against the client's constraints and priorities.\nSupport the client through implementation or handoff, adjusting recommendations as new\ninformation emerges.","tables":[]}],"owner":null,"path":"model/skills/consulting.md"},{"id":"skills/container-orchestration-kubernetes","type":"skill","name":"Container orchestration (Kubernetes)","tagline":"Managing the deployment, scaling and healing of containerized applications across a cluster of machines.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Define how containerized workloads are packaged, scheduled and scaled across a cluster.\nConfigure networking, storage and access controls that let services run reliably alongside each\nother. Monitor cluster health and respond to failures so workloads recover automatically rather\nthan needing manual intervention. Typical tools: Kubernetes, Helm, Docker.","tables":[]}],"owner":null,"path":"model/skills/container-orchestration-kubernetes.md"},{"id":"skills/context-engineering","type":"skill","name":"Context engineering","tagline":"Structuring what an AI model or agent is given to work with — the documents, definitions and rules in its context — so its output is grounded in how the organization actually works.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Decide what an agent needs to know for a task and shape it into something a model can load:\ncurated documents rather than raw dumps, explicit definitions rather than implied ones, rules\nwritten where the work happens. Keep the context where the people who own the facts can edit\nit, so it stays true without becoming a maintenance project of its own. Package and distribute\nit so every assistant works from the same version instead of a private copy. Test what the\nmodel does when context is missing or stale, and constrain it so a gap surfaces as a failure\nrather than as an invention.","tables":[]}],"owner":null,"path":"model/skills/context-engineering.md"},{"id":"skills/conversational-ai","type":"skill","name":"Conversational AI","tagline":"Systems that hold a dialogue with guests, customers or staff across several channels, increasingly with an AI agent answering rather than a person.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Decide whether to build the conversational layer or integrate a specialist vendor, and design\nthe boundary either way: which channels are unified, what the AI may answer on its own, and\nwhen a person takes over. Feed it the messaging history, identity and operational data it needs\nto answer specifically rather than generically. Keep the handover visible in one inbox so no\nconversation is dropped between the agent and the staff member. Watch what it does at the edge\nof what it knows, and make it escalate rather than guess.","tables":[]}],"owner":null,"path":"model/skills/conversational-ai.md"},{"id":"skills/data-engineering","type":"skill","name":"Data engineering","tagline":"Building the pipelines and infrastructure that move and transform data so it is reliably available for analysis or downstream systems.","fields":{"source":"Local","group":"Data"},"sections":[{"heading":"In practice","text":"Design and build pipelines that extract, transform and load data from source systems into\nstorage or analytics platforms. Handle data quality, schema changes and failure recovery so\ndownstream consumers can trust the data they receive. Optimize pipelines for throughput, cost\nand freshness as data volumes and requirements grow. Typical tools: Apache Spark, Airflow, dbt.","tables":[]}],"owner":null,"path":"model/skills/data-engineering.md"},{"id":"skills/data-governance","type":"skill","name":"Data governance","tagline":"Defining ownership, quality standards and policies for data so it stays trustworthy and consistent across an organization.","fields":{"source":"Local","group":"Data"},"sections":[{"heading":"In practice","text":"Define who owns and is accountable for different data domains and set standards for quality,\ndefinitions and lifecycle. Establish policies for access, retention and use of data, including\nmaster or reference data that many systems share. Run processes that monitor data quality and\nresolve inconsistencies across systems.","tables":[]}],"owner":null,"path":"model/skills/data-governance.md"},{"id":"skills/data-modeling","type":"skill","name":"Data modeling","tagline":"Representing the structure and meaning of an organization's data through conceptual, logical or physical models.","fields":{"source":"Local","group":"Data"},"sections":[{"heading":"In practice","text":"Define the entities, attributes and relationships that describe the data an organization holds.\nBuild models at different levels of abstraction, from conceptual business terms to physical\nschema, and keep them consistent with each other. Review and update models as the\norganization's data and understanding of it evolve.","tables":[]}],"owner":null,"path":"model/skills/data-modeling.md"},{"id":"skills/data-protection-gdpr","type":"skill","name":"Data protection (GDPR)","tagline":"Ensuring an organization's handling of personal data complies with data protection law and respects individuals' privacy rights.","fields":{"source":"Local","group":"Security and compliance"},"sections":[{"heading":"In practice","text":"Assess how personal data is collected, used and stored and identify where processing needs a\nlegal basis or additional safeguards. Run or support data protection impact assessments and\nmaintain records of processing activities. Handle data subject requests and breach\nnotifications and advise other parts of the organization on compliant data handling.","tables":[]}],"owner":null,"path":"model/skills/data-protection-gdpr.md"},{"id":"skills/database-design","type":"skill","name":"Database design","tagline":"Structuring how data is organized, related and constrained within a database so it supports an application's needs efficiently and correctly.","fields":{"source":"Local","group":"Data"},"sections":[{"heading":"In practice","text":"Model entities, relationships and constraints and turn them into a schema that supports the\napplication's queries. Make trade-offs between normalization, performance and flexibility based\non how the data will be read and written. Review and adjust the schema as usage patterns or\nrequirements change.","tables":[]}],"owner":null,"path":"model/skills/database-design.md"},{"id":"skills/devops","type":"skill","name":"DevOps","tagline":"Bringing development and operations work together so software is built, tested, released and run as one continuous flow.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Build and maintain the automation, tooling and shared practices that let development and\noperations teams collaborate on the same pipeline. Work to shorten the cycle between writing\ncode and running it reliably in production, often owning both the build process and aspects of\nlive operation. Use feedback from production, such as incidents or performance data, to improve\nthe development process itself. Typical tools: Docker, Kubernetes, CI/CD platforms.","tables":[]}],"owner":null,"path":"model/skills/devops.md"},{"id":"skills/domain-driven-design","type":"skill","name":"Domain-driven design","tagline":"Structuring software around the business domain's own concepts and language rather than around technical layers.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Work with domain experts to build a shared vocabulary and model of the business domain.\nIdentify bounded contexts and use them to draw system and team boundaries that mirror the\ndomain's natural divisions. Keep the code's structure and terminology aligned with that domain\nmodel as understanding deepens.","tables":[]}],"owner":null,"path":"model/skills/domain-driven-design.md"},{"id":"skills/domain-specific-language-design","type":"skill","name":"Domain-specific language design","tagline":"A language built for one domain — its metamodel, syntax and semantics — so that experts can state their intent directly and tools can act on it.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Identify the concepts a domain's experts actually reason in and fix them as a metamodel. Give\nthe language a concrete syntax, textual or graphical, with the constraints that make an invalid\nmodel unwritable. Build the editor, validation and generators around it, and evolve the\nlanguage with the domain without breaking existing models. Typical tools: EMF, Ecore, Xtext,\nSirius, MPS.","tables":[]}],"owner":null,"path":"model/skills/domain-specific-language-design.md"},{"id":"skills/engineering-leadership","type":"skill","name":"Engineering leadership","tagline":"Leading and growing software engineering organizations, balancing technical direction with people and delivery outcomes.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Set technical direction and standards across one or more engineering teams and grow the\norganization's structure to match. Hire, coach and develop engineers and managers, and build\nthe processes that let teams deliver reliably at scale. Balance long-term technical investment\nagainst short-term delivery pressure and represent engineering priorities to the rest of the\norganization.","tables":[]}],"owner":null,"path":"model/skills/engineering-leadership.md"},{"id":"skills/enterprise-architecture","type":"skill","name":"Enterprise architecture","tagline":"Designing the structure of an organization's business capabilities, information and technology so they work together as one coherent system.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Map current business capabilities, data and technology landscapes and define target-state\narchitectures that close identified gaps. Set architecture principles and standards that guide\nindividual projects and technology choices. Review proposed initiatives for alignment with the\ntarget architecture and adjust it as strategy or constraints change.","tables":[]}],"owner":null,"path":"model/skills/enterprise-architecture.md"},{"id":"skills/event-driven-architecture","type":"skill","name":"Event-driven architecture","tagline":"Designing systems where components communicate by producing and reacting to events rather than through direct calls.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Identify the events that matter to a system and design the producers, consumers and channels\nthat carry events between them. Make decisions about ordering, delivery guarantees and how\ncomponents stay decoupled while still working together. Design for failure modes specific to\nasynchronous systems, such as duplicate or out-of-order events. Typical tools: Kafka, RabbitMQ,\nAWS EventBridge.","tables":[]}],"owner":null,"path":"model/skills/event-driven-architecture.md"},{"id":"skills/event-streaming","type":"skill","name":"Event streaming","tagline":"Building systems that publish, transport and consume continuous streams of events in near real time.","fields":{"source":"Local","group":"Data"},"sections":[{"heading":"In practice","text":"Design topics or streams, partitioning and retention policies that fit how data will be\nproduced and consumed. Build producers and consumers that handle ordering, delivery guarantees\nand backpressure correctly. Monitor stream throughput and lag to catch consumers falling behind\nbefore it affects downstream systems. Typical tools: Kafka, Kinesis, Pulsar.","tables":[]}],"owner":null,"path":"model/skills/event-streaming.md"},{"id":"skills/finops","type":"skill","name":"FinOps","tagline":"Managing cloud and technology spend so cost stays visible, accountable and aligned with the value delivered.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Track cloud and technology spend against budgets and attribute it to the teams or products\nresponsible. Identify opportunities to reduce waste, such as underused resources or inefficient\npricing commitments, and work with engineering teams to act on them. Build reporting and\nforecasts that let the organization make informed trade-offs between cost and performance.\nTypical tools: AWS Cost Explorer, CloudHealth, Kubecost.","tables":[]}],"owner":null,"path":"model/skills/finops.md"},{"id":"skills/frontend-development-typescript-react","type":"skill","name":"Frontend development (TypeScript, React)","tagline":"Building user-facing web applications using TypeScript and component-based frameworks such as React.","fields":{"source":"Local","group":"Software development"},"sections":[{"heading":"In practice","text":"Build user interface components and manage application state so the interface reflects\nunderlying data correctly. Use static typing to catch errors before runtime and structure code\nso components remain reusable and testable. Optimize rendering performance and handle browser\ncompatibility and accessibility concerns as the application grows. Typical tools: TypeScript,\nReact, Redux.","tables":[]}],"owner":null,"path":"model/skills/frontend-development-typescript-react.md"},{"id":"skills/identity-and-access-management","type":"skill","name":"Identity and access management","tagline":"Controlling who can authenticate to systems and what they are authorized to do once inside.","fields":{"source":"Local","group":"Security and compliance"},"sections":[{"heading":"In practice","text":"Design and configure authentication and authorization mechanisms, including protocols such as\nOAuth or OIDC, that verify identity and grant access. Define roles, permissions and access\npolicies and review them to keep access aligned with actual need. Investigate access-related\nincidents and remove or adjust access as roles change. Typical tools: OAuth, OIDC, Okta.","tables":[]}],"owner":null,"path":"model/skills/identity-and-access-management.md"},{"id":"skills/incident-management","type":"skill","name":"Incident management","tagline":"Detecting, responding to and resolving disruptions to a service so normal operation is restored as quickly as possible.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Triage incoming alerts to assess severity and impact and coordinate the people needed to\ninvestigate and restore service. Communicate status to affected stakeholders throughout the\nincident and decide when it can be declared resolved. Run or contribute to a post-incident\nreview that captures root cause and follow-up actions.","tables":[]}],"owner":null,"path":"model/skills/incident-management.md"},{"id":"skills/information-security-management","type":"skill","name":"Information security management","tagline":"Establishing and operating a management system that identifies, treats and monitors information security risk across an organization.","fields":{"source":"Local","group":"Security and compliance"},"sections":[{"heading":"In practice","text":"Identify information assets and assess the risks they face, then define policies and controls\nto treat those risks. Run an ongoing management system, such as one aligned to ISO 27001, that\nincludes audits, incident handling and continuous improvement. Report security posture and\nresidual risk to leadership and adjust controls as threats or the organization change.","tables":[]}],"owner":null,"path":"model/skills/information-security-management.md"},{"id":"skills/infrastructure-as-code","type":"skill","name":"Infrastructure as code","tagline":"Defining and provisioning infrastructure through versioned, executable configuration rather than manual setup.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Write declarative or scripted definitions of infrastructure and apply them through an automated\npipeline. Version those definitions alongside application code and review changes before they\nreach live environments. Use the same definitions to reproduce environments consistently and to\nroll back when a change causes problems. Typical tools: Terraform, CloudFormation, Pulumi.","tables":[]}],"owner":null,"path":"model/skills/infrastructure-as-code.md"},{"id":"skills/integration-architecture","type":"skill","name":"Integration architecture","tagline":"Designing how disparate systems and applications connect and exchange data across an organization.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Map the systems that need to exchange data and design the integration patterns, message formats\nand middleware that connect them. Decide between approaches such as point-to-point connections,\nan enterprise service bus or event-based integration based on the scale and coupling required.\nDesign for failure handling, data consistency and monitoring across integration points.","tables":[]}],"owner":null,"path":"model/skills/integration-architecture.md"},{"id":"skills/iot-architecture","type":"skill","name":"IoT architecture","tagline":"Designing the path from a physical device to a business system: sensing, connectivity, ingestion, use.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Choose the sensing and the radio for the device's power, range and cost, not for the\ndemo. Design the ingestion so that unreliable, bursty telemetry becomes a clean stream the\nbusiness systems can consume. Prototype with real devices in the real environment before\ncommitting to a platform. Typical tools: LoRaWAN, RFID, MQTT.","tables":[]}],"owner":null,"path":"model/skills/iot-architecture.md"},{"id":"skills/it-governance","type":"skill","name":"IT governance","tagline":"Establishing decision rights, policies and oversight structures that keep IT activity accountable and aligned with organizational objectives.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Define who can make which technology decisions and set the policies, standards and controls\nthose decisions must follow. Run governance forums that review risk, compliance and investment\nchoices, and track adherence to agreed frameworks. Adjust the governance structure as the\norganization and its regulatory context evolve.","tables":[]}],"owner":null,"path":"model/skills/it-governance.md"},{"id":"skills/it-strategy","type":"skill","name":"IT strategy","tagline":"Setting a multi-year direction for IT investment and architecture that aligns with business goals.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Assess market and technology trends, current capability gaps and business priorities to set a\nforward-looking direction for technology investment. Translate that direction into principles,\nroadmaps and target architectures that guide subsequent decisions. Engage executive\nstakeholders to secure buy-in and funding, and revisit the strategy as conditions change.","tables":[]}],"owner":null,"path":"model/skills/it-strategy.md"},{"id":"skills/java","type":"skill","name":"Java","tagline":"Building software using the Java programming language and its surrounding ecosystem of libraries and runtime.","fields":{"source":"Local","group":"Software development"},"sections":[{"heading":"In practice","text":"Write and maintain Java code, applying its object-oriented features and concurrency model to\nsolve application problems. Use the surrounding ecosystem, such as build tools, frameworks and\nlibraries, to structure and package applications. Tune and debug applications running on the\nJava virtual machine, including memory and performance issues specific to that runtime. Typical\ntools: Java, Spring, Maven.","tables":[]}],"owner":null,"path":"model/skills/java.md"},{"id":"skills/knowledge-management","type":"skill","name":"Knowledge management","tagline":"Capturing, organizing and sharing an organization's knowledge so it remains accessible and useful beyond the individuals who created it.","fields":{"source":"Local","group":"Advisory"},"sections":[{"heading":"In practice","text":"Capture knowledge from people and projects and organize it so others can find and reuse it.\nDesign processes and tools that make contributing and searching knowledge easy enough that\npeople actually do it. Review content over time for accuracy and relevance and retire or update\nmaterial that has gone stale.","tables":[]}],"owner":null,"path":"model/skills/knowledge-management.md"},{"id":"skills/legacy-modernization","type":"skill","name":"Legacy modernization","tagline":"Bringing a system built for another era forward without stopping the business that runs on it.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Wrap the legacy system in a stable interface before touching its inside. Generate rather\nthan hand-write the bridging code where the interfaces are numerous and regular. Replace one\nlayer at a time, keeping the old path alive until the new one has carried production load.\nTypical tools: mainframe service interfaces, COBOL, SOAP, code generators.","tables":[]}],"owner":null,"path":"model/skills/legacy-modernization.md"},{"id":"skills/machine-learning","type":"skill","name":"Machine learning","tagline":"Building models that learn patterns from data and use them to make predictions or decisions on new data.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Prepare and explore data, select and train models and evaluate them against relevant\nperformance metrics. Tune model architecture and hyperparameters and validate results against\nheld-out data to avoid overfitting. Monitor deployed models for drift or degraded performance\nand retrain as needed.","tables":[]}],"owner":null,"path":"model/skills/machine-learning.md"},{"id":"skills/mentoring-and-coaching","type":"skill","name":"Mentoring and coaching","tagline":"Growing other people's judgment and skill on purpose, one conversation and one review at a time.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Give people problems slightly beyond them and stay close enough that failing is safe. Ask before\ntelling, and tell when asking would waste their week. Review work for the thinking behind it,\nnot only the result, and say what was good as precisely as what was not. Build the places —\ncommunities of practice, pairing, retrospectives — where people teach each other without you.","tables":[]}],"owner":null,"path":"model/skills/mentoring-and-coaching.md"},{"id":"skills/microservices-architecture","type":"skill","name":"Microservices architecture","tagline":"Designing a system as a set of independently deployable services organized around business capabilities.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Decompose a system into services with clear boundaries and define how those services\ncommunicate and share data. Design for independent deployment, resilience to partial failure\nand observability across service boundaries. Weigh the added operational complexity against the\nflexibility gained from decoupling services. Typical tools: Kubernetes, Docker, Istio.","tables":[]}],"owner":null,"path":"model/skills/microservices-architecture.md"},{"id":"skills/mlops","type":"skill","name":"MLOps","tagline":"Operating the pipelines and infrastructure that take machine learning models from training into reliable production use.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Build pipelines that automate data preparation, training, validation and deployment of models.\nVersion models, data and experiments so results are reproducible, and monitor deployed models\nfor performance and drift. Coordinate rollbacks and retraining when a model's behavior degrades\nin production. Typical tools: MLflow, Kubeflow, SageMaker.","tables":[]}],"owner":null,"path":"model/skills/mlops.md"},{"id":"skills/model-driven-engineering","type":"skill","name":"Model-driven engineering","tagline":"Using formal models as the primary artifact of software development, generating code or other artifacts from them rather than writing them by hand.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Define metamodels or domain-specific languages that capture a problem in a structured, formal\nway. Build or configure generators that transform those models into code, configuration or\ndocumentation. Keep the models as the source of truth, regenerating downstream artifacts as the\nmodels change rather than editing generated output directly.","tables":[]}],"owner":null,"path":"model/skills/model-driven-engineering.md"},{"id":"skills/multi-tenant-saas-architecture","type":"skill","name":"Multi-tenant SaaS architecture","tagline":"Designing a software system so a single deployment serves many customers securely and efficiently while keeping their data and usage isolated.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Decide how tenants share or are isolated from underlying compute, storage and configuration.\nDesign for per-tenant data isolation, customization and scaling so one tenant's usage cannot\naffect another's experience. Plan onboarding, billing and upgrade paths that work across the\nwhole tenant base rather than one customer at a time.","tables":[]}],"owner":null,"path":"model/skills/multi-tenant-saas-architecture.md"},{"id":"skills/observability","type":"skill","name":"Observability","tagline":"Instrumenting systems so their internal state can be understood from the data they produce, and using that data to detect and diagnose issues.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Instrument applications and infrastructure to emit logs, metrics and traces that reveal what is\nhappening inside a system. Build dashboards and alerts that surface meaningful signals and\nreduce noise from irrelevant ones. Use that telemetry to diagnose the root cause of incidents\nand to spot degradation before it becomes an outage. Typical tools: Prometheus, Grafana,\nDatadog.","tables":[]}],"owner":null,"path":"model/skills/observability.md"},{"id":"skills/open-source-stewardship","type":"skill","name":"Open-source stewardship","tagline":"Running a public project so that strangers can adopt it, contribute to it and trust it to stay.","fields":{"source":"Local","group":"Software development"},"sections":[{"heading":"In practice","text":"Choose the license for the outcome you want and say what is open and what could ever be\npaid for. Write the README for the adopter, the conventions for the contributor and the\nspec for the person who will disagree with you later. Release on a contract — versions,\ntags, a manifest — so that nobody depends on a moving target. Keep the decisions and the\nrejected alternatives in the repository, where the next maintainer can find them.","tables":[]}],"owner":null,"path":"model/skills/open-source-stewardship.md"},{"id":"skills/organization-design","type":"skill","name":"Organization design","tagline":"Deciding how a growing company divides its work, its decisions and its people.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Draw the teams around the products or domains they own, not around the technologies they\nuse. Decide what a team may decide alone and what needs the room. Design for the next size,\nnot the current one — including where a distributed or near-shore team fits — and recruit\nand develop the leaders each new shape requires.","tables":[]}],"owner":null,"path":"model/skills/organization-design.md"},{"id":"skills/platform-engineering","type":"skill","name":"Platform engineering","tagline":"Building internal platforms and tooling that let product teams self-service infrastructure and common capabilities without depending on a central operations team.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Design and build the golden paths, templates and self-service tools that other engineering\nteams use to provision infrastructure and deploy applications. Gather requirements from those\ninternal teams and treat the platform itself as a product with its own roadmap. Balance\nstandardization, which reduces support burden, against flexibility for teams with unusual\nneeds.","tables":[]}],"owner":null,"path":"model/skills/platform-engineering.md"},{"id":"skills/process-orchestration","type":"skill","name":"Process orchestration","tagline":"Coordinating the execution of multi-step business processes across systems and services using a dedicated orchestration engine.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Model processes as executable workflows and configure an engine to run, track and recover them\nacross their lifecycle. Integrate process steps with the underlying systems and services that\nperform the actual work. Monitor running process instances and handle failures or exceptions so\nprocesses complete correctly. Typical tools: Camunda, Zeebe, AWS Step Functions.","tables":[]}],"owner":null,"path":"model/skills/process-orchestration.md"},{"id":"skills/product-discovery","type":"skill","name":"Product discovery","tagline":"Finding out whether a product should exist before building it — the problem, the buyer, the price, the no.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Write the idea down as a claim that can be wrong: who has the problem, what they pay for\ntoday, what would make them switch. Put the smallest real thing in front of them — a talk, a\nmodel, a worked example — and collect the objections rather than the compliments. Set the\noutcome you will accept before you start, including a clean no, and publish what you\nlearned either way.","tables":[]}],"owner":null,"path":"model/skills/product-discovery.md"},{"id":"skills/product-management","type":"skill","name":"Product management","tagline":"Defining what a product should do and why, and steering its development to deliver value to users and the business.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Gather user and market insight to define product vision, priorities and roadmap. Translate that\nvision into requirements and backlog items, working closely with design and engineering to ship\nincrements. Track outcomes after release and adjust priorities based on what is learned.","tables":[]}],"owner":null,"path":"model/skills/product-management.md"},{"id":"skills/public-speaking","type":"skill","name":"Public speaking","tagline":"Explaining technical work to a room so that people leave able to act on it.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Pick the one idea the audience should take home and build the talk backward from it. Show\nthe real system, the real numbers and the real mistake, not the slide version. Rehearse until\nthe timing is yours, then leave room for the questions that tell you what landed.","tables":[]}],"owner":null,"path":"model/skills/public-speaking.md"},{"id":"skills/requirements-engineering","type":"skill","name":"Requirements engineering","tagline":"Eliciting, documenting and managing what a system or change needs to do so that stakeholders and delivery teams share the same understanding.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Elicit needs from stakeholders through interviews, workshops or observation and turn them into\nclear, testable requirements. Organize and prioritize those requirements, trace them through\ndesign and delivery and manage changes as understanding evolves. Validate delivered\nfunctionality against the original requirements to confirm the need was actually met.","tables":[]}],"owner":null,"path":"model/skills/requirements-engineering.md"},{"id":"skills/site-reliability-engineering","type":"skill","name":"Site reliability engineering","tagline":"Applying engineering methods to operations so that systems meet defined reliability targets at scale.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Define service level objectives and error budgets and use them to decide when to prioritize\nreliability work over new features. Automate operational tasks that would otherwise require\nrepetitive manual effort and build tooling that makes systems easier to diagnose and recover.\nLead or contribute to incident response and follow up with changes that reduce the chance of\nrecurrence.","tables":[]}],"owner":null,"path":"model/skills/site-reliability-engineering.md"},{"id":"skills/software-architecture","type":"skill","name":"Software architecture","tagline":"Defining the high-level structure of a software system, including its components, their responsibilities and how they interact.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Decompose a system into components and define the interfaces and interactions between them.\nMake and document decisions about structure, technology choices and trade-offs such as\nperformance, maintainability and scalability. Review implementation to confirm it stays\nconsistent with the intended structure as the system evolves.","tables":[]}],"owner":null,"path":"model/skills/software-architecture.md"},{"id":"skills/software-engineering","type":"skill","name":"Software engineering","tagline":"Designing, writing, testing and maintaining software that meets defined requirements and can be operated reliably over time.","fields":{"source":"Local","group":"Software development"},"sections":[{"heading":"In practice","text":"Translate requirements into working code, choosing algorithms, data structures and patterns\nthat fit the problem. Write automated tests, review code with peers and refactor to keep the\ncodebase maintainable as it grows. Debug and fix defects across the lifecycle, from initial\ndevelopment through production support.","tables":[]}],"owner":null,"path":"model/skills/software-engineering.md"},{"id":"skills/software-modeling-uml-sysml-c4","type":"skill","name":"Software modeling (UML, SysML, C4)","tagline":"Using standardized diagram notations to represent a system's structure and behavior so it can be communicated and reasoned about before or alongside implementation.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Choose a notation appropriate to the audience and purpose, such as UML for software structure,\nSysML for systems engineering or C4 for architecture at different zoom levels. Produce diagrams\nthat capture components, interactions or processes and keep them consistent with the system as\nit evolves. Use the models to communicate design intent to other engineers or stakeholders and\nto reason about a design before it is built.","tables":[]}],"owner":null,"path":"model/skills/software-modeling-uml-sysml-c4.md"},{"id":"skills/software-process-engineering","type":"skill","name":"Software process engineering","tagline":"Designing how an organization builds software — the method, the disciplines, the toolchain — and getting it adopted.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Define the disciplines, artifacts and roles a delivery process needs, and write them down\nwhere teams will find them. Replace a home-grown method with a standard one where a standard\nexists. Build the toolchain that makes the process the easy path, and coach teams until it is\nhow they work rather than what they were told. Typical tools: Rational Method Composer, Jira,\nConfluence, Jenkins, SonarQube.","tables":[]}],"owner":null,"path":"model/skills/software-process-engineering.md"},{"id":"skills/software-testing","type":"skill","name":"Software testing","tagline":"Verifying that software behaves as intended and catching defects before they reach production.","fields":{"source":"Local","group":"Software development"},"sections":[{"heading":"In practice","text":"Design test cases that cover expected behavior, edge cases and failure conditions at unit,\nintegration or end-to-end levels. Execute those tests manually or through automation and\ninvestigate failures to distinguish real defects from flaky tests. Track coverage and defect\ntrends to focus testing effort where risk is highest. Typical tools: JUnit, Selenium, Cypress.","tables":[]}],"owner":null,"path":"model/skills/software-testing.md"},{"id":"skills/solution-architecture","type":"skill","name":"Solution architecture","tagline":"Designing the technical solution for a specific initiative so it meets functional and non-functional requirements within the wider technology landscape.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Translate business and functional requirements into a technical design spanning applications,\nintegrations and infrastructure. Evaluate design options against constraints such as\nperformance, security and cost, and choose an approach that fits the surrounding architecture.\nGuide implementation teams through the design and adjust it as issues surface during build.","tables":[]}],"owner":null,"path":"model/skills/solution-architecture.md"},{"id":"skills/solution-selling","type":"skill","name":"Solution selling","tagline":"Winning work by showing a client the solution to their problem before they have paid for it.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Read the tender or the brief for the problem behind the requirements. Shape a solution\narchitecture that answers it, price it honestly and present it as the people who will build\nit. Lead the bid across proposal, pitch and negotiation, and walk away from work that cannot\nbe delivered as promised.","tables":[]}],"owner":null,"path":"model/skills/solution-selling.md"},{"id":"skills/spec-driven-development","type":"skill","name":"Spec-driven development","tagline":"Writing down what a system must do, and why, before any of it is built — and building only against that text.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Write the specification first: purpose, decisions, the alternatives rejected and why, what is\nout of scope. Get it reviewed by the people who will disagree later, then derive the plan and\nthe tests from it rather than from the code. Keep the spec in the repository beside the code\nit governs and change it before changing the behavior. Let agents and people build from the\nsame text. Typical tools: spec-kit, Markdown specs and plans in the repository.","tables":[]}],"owner":null,"path":"model/skills/spec-driven-development.md"},{"id":"skills/stakeholder-management","type":"skill","name":"Stakeholder management","tagline":"Identifying, engaging and maintaining productive working relationships with the people who have an interest in or influence over an initiative.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Identify stakeholders and understand their interests, concerns and level of influence.\nCommunicate progress, negotiate expectations and resolve conflicting priorities across those\ngroups. Keep relationships productive over time so decisions get the input and support they\nneed.","tables":[]}],"owner":null,"path":"model/skills/stakeholder-management.md"},{"id":"skills/technical-writing","type":"skill","name":"Technical writing","tagline":"Writing that lets a reader understand and act on a technical thing without asking the author.","fields":{"source":"Local","group":"Advisory"},"sections":[{"heading":"In practice","text":"Decide what the reader needs to do after reading, and cut everything that does not serve\nit. State decisions, the alternatives that lost and the reasons, so the text survives its\nauthor. Keep one term per concept and the same term throughout. Show the real example\nrather than the generic one, and read the text back as the person who was not in the\nroom.","tables":[]}],"owner":null,"path":"model/skills/technical-writing.md"},{"id":"skills/vendor-management","type":"skill","name":"Vendor management","tagline":"Selecting, contracting and overseeing external suppliers so their delivery meets agreed commitments.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Evaluate and select suppliers, negotiate contracts and service levels and monitor ongoing\nperformance against them. Manage the relationship day to day, resolving issues and\nrenegotiating terms as needs change. Balance cost, quality and risk across the supplier base.","tables":[]}],"owner":null,"path":"model/skills/vendor-management.md"},{"id":"sources/local","type":"source","name":"Local","tagline":"Written and kept in this repository, which masters every page in the model. Nothing syncs it, and it issues no identifiers, so no page carries a `source-id`.","fields":{},"sections":[],"owner":null,"path":"model/sources/local.md"},{"id":"values/build-the-alternative-before-making-the-point","type":"value","name":"Build the alternative before making the point","tagline":"Naming what is broken is free, so it is not a position until something works differently.","fields":{"source":"Local"},"sections":[{"heading":"In practice","text":"I do not publish a criticism until I have built the thing that answers it, and then the working\nalternative is what I lead with — the argument comes second and can be lost without the point\ncollapsing. Where I cannot build it, I say the problem is real and leave the criticism unmade.\n\nI never let a complaint stand as a position.","tables":[]}],"owner":null,"path":"model/values/build-the-alternative-before-making-the-point.md"},{"id":"values/decide-well-over-build-fast","type":"value","name":"Decide well over build fast","tagline":"AI moved the constraint from building quickly to deciding correctly; the decision is the work.","fields":{"source":"Local"},"sections":[{"heading":"In practice","text":"I write the decision down before the code — with the alternatives that lost and why — so the\nnext person can disagree with a reason rather than a rewrite. I spend the time that fast\nbuilding saves on choosing well, because the constraint moved there.\n\nI never ship a feature in a day and argue about it for a quarter because nobody can say what\nit was for.","tables":[]}],"owner":null,"path":"model/values/decide-well-over-build-fast.md"},{"id":"values/grow-the-people-with-the-platform","type":"value","name":"Grow the people with the platform","tagline":"A platform that outgrows the team that runs it is a liability with good uptime.","fields":{"source":"Local"},"sections":[{"heading":"In practice","text":"I grow the organization as deliberately as the platform — hiring, practices, ownership — so\nthat every part of the system has someone who could be woken up for it and would know what\nto do. I judge a platform by the team that can run it without me.\n\nI never let five people know everything while twenty wait for them.","tables":[]}],"owner":null,"path":"model/values/grow-the-people-with-the-platform.md"},{"id":"values/model-it-before-you-build-it","type":"value","name":"Model it before you build it","tagline":"A business described as concepts and capabilities is one that people and AI can both act inside of.","fields":{"source":"Local"},"sections":[{"heading":"In practice","text":"I keep a written model — domains, capabilities, processes, rules — that the code, the org\nchart and the agents all refer back to, and I keep it where the people who own the facts can\nedit it. I build from the model, not beside it.\n\nI never let the model live in three heads and a slide deck, with every system encoding a\nslightly different version of it.","tables":[]}],"owner":null,"path":"model/values/model-it-before-you-build-it.md"},{"id":"values/production-is-the-finish-line","type":"value","name":"Production is the finish line","tagline":"A platform counts when it runs for customers under real security and compliance obligations, not when the demo works.","fields":{"source":"Local"},"sections":[{"heading":"In practice","text":"I own reliability, incident management and the audit trail as part of building the thing. I\ntreat ISO 27001 and GDPR as design inputs, not a form to fill in after. I call it done when it\nruns for customers under real obligations, not when the demo works.\n\nI never meet a launch date with a system nobody is on call for.","tables":[]}],"owner":null,"path":"model/values/production-is-the-finish-line.md"},{"id":"vision","type":"vision","name":"One model, true everywhere","tagline":"Whoever asks about my work — a person, a search engine, an agent — reaches the same answer, because every surface they can reach derives from one model I keep, and no claim in it stands without its evidence.","fields":{"source":"Local"},"sections":[{"heading":"What it means","text":"Everything public about my work is derived rather than maintained. One model holds the facts:\nwhat I have built, which capabilities I claim and on what evidence, and what I hold to. The CV\nand its per-application dossiers, the website and its talks, the LinkedIn profile and the\nloadable skill bundle are outputs of it. When two of them disagree the model is what gets\ncorrected and the surfaces are rebuilt; none of them is edited on its own.\n\nThe claim is not that any single surface is good. It is that they agree — because someone\nasking about me increasingly asks a machine, and a machine assembling an answer from\ncontradictory sources produces either mush or a confident error. I would know this holds when\nthe same question put to a person, to a search engine and to an agent comes back the same.\n\nThe scope is the work. Private life is out of scope by design rather than by omission: the\nschemas have nowhere to put it, which is a stronger guarantee than a 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lust/experiences/2026-career-break","to":"skills/technical-writing","via":"skills","attrs":{}},{"from":"profiles/robert-blust/experiences/2026-career-break","to":"sources/local","via":"source","attrs":{}},{"from":"profiles/robert-blust","to":"skills/agentic-ai-development","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built CompanyGraph and GuestGraph agent-first under written conventions that encode the failure modes — an unresolvable reference is an error rather than a warning, so an agent cannot invent an entity; every validation pass must name what it did not check, so a clean report is never mistaken for a complete one. Earlier built LIKE MAGIC's internal AI marketplace on Claude (Claude Cowork), grounded in the Mental Model."}},{"from":"profiles/robert-blust","to":"skills/agile-delivery","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Served as Scrum Master and technical lead on central Wealth Management & Swiss Bank initiatives (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/ai-governance","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Defined LIKE MAGIC's AI governance as Head of Technology — a Human Oversight principle, data-privacy guardrails against training external LLMs on internal context, multi-provider tooling and cost governance — and held the company to it across plan, change and run."}},{"from":"profiles/robert-blust","to":"skills/ai-strategy","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Authored and executed LIKE MAGIC's company-wide AI strategy, from the internal rollout of assistants across plan, change and run to shipped customer-facing AI: architected the integration of d3x, ailean and onsai into the platform's staff solution."}},{"from":"profiles/robert-blust","to":"skills/ai-tool-integration-mcp","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Wired Atlassian, Google Drive and Slack MCP servers into the agent that maintained the LIKE MAGIC Mental Model, reading and writing Confluence pages, Jira issues, Google Docs and Sheets so the knowledge base stayed in step with the systems it described, each command scoped to a named allowlist of the tools it could call. No server authored: the platform's own MCP layer was still roadmap at exit, as CompanyGraph's is now."}},{"from":"profiles/robert-blust","to":"skills/api-design","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Established API and data management for UBS Wealth Management & Swiss Bank with generated XML-Schema and WSDL service contracts and led LIKE MAGIC's API-first strategy with a managed public API."}},{"from":"profiles/robert-blust","to":"skills/business-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Drove business architecture and capability modeling on EMF/Ecore at UBS Wealth Management & Swiss Bank for five years (2009–2015) then mapped LIKE MAGIC's 12 business domains as L0 concepts and L1 capabilities."}},{"from":"profiles/robert-blust","to":"skills/business-process-modeling-bpmn-dmn","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Modeled the end-to-end guest journey from booking to check-out in Camunda BPMN at Stay KooooK and LIKE MAGIC."}},{"from":"profiles/robert-blust","to":"skills/change-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Replaced UBS Wealth Management & Business Banking's proprietary engineering process with a market-standard one as owner of its Analysis & Design discipline, coaching project teams into it (2004–2009), then drove LIKE MAGIC's productive rollout of AI assistants across plan, change and run."}},{"from":"profiles/robert-blust","to":"skills/ci-cd","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built the Swisscard integration rewrite's pipeline on Jenkins and set LIKE MAGIC's CI/CD standards on GitHub Actions."}},{"from":"profiles/robert-blust","to":"skills/cloud-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned LIKE MAGIC's production cloud platform on Google Cloud and created the Aroov and Stay KooooK backend architectures on the same stack."}},{"from":"profiles/robert-blust","to":"skills/community-building","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built internal communities of practice at UBS (2004–2009), led the division's Java Chief Developer committee for two years and co-led it for a further five (2009–2015), co-organized the three Eclipse events UBS hosted in Zürich (MDD Day 2010, Finance Day 2012 and 2014), represented UBS in the Eclipse Modeling Platform Working Group and served on the board of the Swiss Eclipse User Group within JUG Switzerland (2011–2014)."}},{"from":"profiles/robert-blust","to":"skills/company-vision-and-strategy","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Co-founded 3AP, which scaled to about 70 people, and co-founded LIKE MAGIC, building the platform behind 90+ customers and 16,000+ units as of 2026."}},{"from":"profiles/robert-blust","to":"skills/consulting","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Created technical concepts, proposals and pitches as 3AP's CTO (2015–2022), delivering award-winning client platforms in insurance, real estate, IoT and hospitality."}},{"from":"profiles/robert-blust","to":"skills/container-orchestration-kubernetes","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Ran the Aroov, Stay KooooK and LIKE MAGIC backends on Google Kubernetes Engine."}},{"from":"profiles/robert-blust","to":"skills/context-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built the LIKE MAGIC Mental Model as the organization's shared context layer and shipped it as a skill into the company's Claude environment, then generalized the approach into CompanyGraph — a published meta-model for describing a company as a graph both people and agents can read (2022–2026)."}},{"from":"profiles/robert-blust","to":"skills/conversational-ai","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Architected the integration of d3x, ailean and onsai into LIKE MAGIC's staff solution — unified multi-channel guest messaging with AI agents answering, plus guest insights and staff handover."}},{"from":"profiles/robert-blust","to":"skills/data-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built LIKE MAGIC's event and data hub, the sink for every business event its services published: ingested into BigQuery for analytics, idempotent on the event id so a redelivery cannot double-count, and served back as a queryable event log. Earlier fed Credit Suisse's Master Data Repository from static source-code analysis and several source systems, and Flawa iQ's LoRaWAN telemetry into the ERP."}},{"from":"profiles/robert-blust","to":"skills/data-governance","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Built Credit Suisse's Master Data Repository so data stewards could be assigned and the golden-source distribution across the core systems mapped."}},{"from":"profiles/robert-blust","to":"skills/data-modeling","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built the canonical data model for UBS Wealth Management & Swiss Bank's enterprise data management (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/data-protection-gdpr","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Ran LIKE MAGIC's GDPR compliance including the guardrail that no internal context trained external LLMs."}},{"from":"profiles/robert-blust","to":"skills/database-design","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Worked with Oracle in UBS's DynaRep repository, MSSQL in the Swisscard rewrite and PostgreSQL with R2DBC/jOOQ across the LIKE MAGIC platform."}},{"from":"profiles/robert-blust","to":"skills/devops","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Established software-delivery processes and sustainable DevOps practices at 3AP and built LIKE MAGIC's production platform to DevOps standards on Google Cloud."}},{"from":"profiles/robert-blust","to":"skills/domain-driven-design","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Cut LIKE MAGIC's platform along its 12 business domains — L0 concepts, L1 capabilities — so service and team boundaries followed the domain rather than the technical layering, and drove UBS Wealth Management & Swiss Bank's business architecture and capability modeling on EMF/Ecore for five years (2009–2015), where a canonical data model was what every interface contract in the division was defined against."}},{"from":"profiles/robert-blust","to":"skills/domain-specific-language-design","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built DynaRep's repository-based modeling tool and its code generators for UBS mainframe service interfaces (2004–2009) and defined data types, interfaces and service contracts platform-independently on EMF and Xtext (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/engineering-leadership","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Led the team building UBS Wealth Management & Swiss Bank's Eclipse-based tooling platform (2009–2015), then set the technology direction in two companies as co-founder — CTO at 3AP, Head of Technology at LIKE MAGIC — and owned the frame the engineering work happened in: the organizational structure and its roles, the reference architecture, the technology stack, the approvals every engagement had to pass, and the platform and AI budget. Carried that through 3AP's scale to about 70 people across two countries, and developed the technical leadership at LIKE MAGIC as it moved from a founding team to a 25-person product organization. Earlier at UBS, owned the Analysis & Design discipline in Wealth Management & Business Banking (2004–2009) and architected the SDLC toolchain that several hundred engineers across Wealth Management & Swiss Bank planned, built and released inside (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/enterprise-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Architected the Integration Architecture Tool Chain for UBS Wealth Management & Swiss Bank around a canonical data model with a central API and interface-portfolio repository (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/event-driven-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Designed Aroov's event-driven backend on Google Cloud Pub/Sub and built the LIKE MAGIC platform on Pub/Sub as its event hub."}},{"from":"profiles/robert-blust","to":"skills/event-streaming","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built LIKE MAGIC's services as producers and consumers on Spring Cloud Stream over a Google Cloud Pub/Sub binder — bindings declared per service, transport swappable underneath — carrying 89M+ platform events a year, and ran Kafka as the streaming backbone of Conperi's processing pipeline."}},{"from":"profiles/robert-blust","to":"skills/finops","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Budget holder for LIKE MAGIC's cloud platform and AI tooling. Forecast and governed spend across dev, test and production, with consumption KPIs defined in the Mental Model and weekly actuals generated from the Google Cloud billing API, routed to owners by role when a threshold was breached. Held platform cost flat as volume grew to 89M+ events annually, through continuous database and code optimization."}},{"from":"profiles/robert-blust","to":"skills/frontend-development-typescript-react","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Owned Stay KooooK's front-to-back architecture including its React frontend and shipped LIKE MAGIC's React/TypeScript/MUI frontend."}},{"from":"profiles/robert-blust","to":"skills/identity-and-access-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Built zero-trust API boundaries into the LIKE MAGIC platform."}},{"from":"profiles/robert-blust","to":"skills/incident-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Owned LIKE MAGIC's production cloud platform on Google Cloud — reliability, incident response and performance — for a multi-tenant SaaS serving 90+ customers and 430+ properties while it processed 89M+ platform events annually, with alerting driven by defined SLOs."}},{"from":"profiles/robert-blust","to":"skills/information-security-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Built LIKE MAGIC's information-security management toward ISO 27001 (in progress), GDPR compliance and zero-trust API boundaries."}},{"from":"profiles/robert-blust","to":"skills/infrastructure-as-code","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Built LIKE MAGIC's production platform as Infrastructure-as-Code on Google Cloud."}},{"from":"profiles/robert-blust","to":"skills/integration-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned AXA Health's complete integration architecture into Adcubum Syrius and integrated 3 PMS (Mews, Apaleo, Oracle OHIP), 15+ smart-lock systems and 3 AI communication vendors (d3x, ailean, onsai) at LIKE MAGIC."}},{"from":"profiles/robert-blust","to":"skills/iot-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Designed Flawa iQ's sensing and LoRaWAN connectivity and the backend ingesting device telemetry into the ERP (2018–2019)."}},{"from":"profiles/robert-blust","to":"skills/it-governance","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Ran delivery governance and technology-stack approvals at 3AP and set the role-based review process for the division's central interface-portfolio repository."}},{"from":"profiles/robert-blust","to":"skills/it-strategy","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned technology strategy and reference architecture as 3AP's CTO (2015–2022) then defined LIKE MAGIC's product and platform strategy across 12 business domains."}},{"from":"profiles/robert-blust","to":"skills/java","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built Java systems from UBS's DynaRep repository (2004–2009) to Spring Boot and WebFlux platforms at Swisscard, AXA, Aroov, Stay KooooK and LIKE MAGIC."}},{"from":"profiles/robert-blust","to":"skills/knowledge-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built the LIKE MAGIC Mental Model as the organization's shared context layer and established communities of practice at UBS (2004–2009)."}},{"from":"profiles/robert-blust","to":"skills/legacy-modernization","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Architected DynaRep, generating COBOL and Java implementations for UBS mainframe service interfaces (2004–2009), and replaced Swisscard's proprietary SOAP data-integration layer (2015)."}},{"from":"profiles/robert-blust","to":"skills/machine-learning","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/familiar","Evidence":"Architected the pipeline, the labeling tool and the serving path for Conperi, 3AP's applied-research proof of concept with ZHAW for reading health-insurance invoices (2018–2020), and followed the modeling work closely enough to build the platform it needed — GPU training nodes, a labeled dataset where none existed, held-out evaluation reported per document rather than per line. The models themselves were ZHAW's."}},{"from":"profiles/robert-blust","to":"skills/mentoring-and-coaching","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Coached UBS project teams in the Analysis & Design methodology and built internal communities of practice (2004–2009), mentored engineers at 3AP as it scaled to about 70 people, and developed the technical leadership at LIKE MAGIC as it grew from 5 to 25."}},{"from":"profiles/robert-blust","to":"skills/microservices-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Authored 3AP's microservice reference architecture — event-driven, 12-factor, the service cut driven by business capability — and built AXA Health, Flawa iQ and Aroov to it (2015–2022). Carried it into LIKE MAGIC as the platform's own: booking, guest, profile, payment, door access, messaging, operation and analytics services, each contract-first, with every integrated vendor reached through its own connector and a fallback path behind the realtime one."}},{"from":"profiles/robert-blust","to":"skills/mlops","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Set up Conperi's training and serving split — a training service, a registry versioning each model with the metadata to reproduce it, and a separate serving service so a model could be replaced without redeploying its consumers — on a GKE platform built from cluster creation up, with GPU nodes provisioned for training and a labeling tool feeding the dataset. It stayed a proof of concept: no model of this was ever operated in production, so nothing here covers drift, rollback or retraining."}},{"from":"profiles/robert-blust","to":"skills/model-driven-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built UBS's DynaRep model-driven repository and code generator (MDSD, 2004–2009), the Eclipse-based Integration Architecture Tool Chain drawing on the cross-industry Eclipse Modeling Platform Working Group (2009–2015), and Credit Suisse's Eclipse-CDO Master Data Repository (2016). Presented the approach publicly at Eclipse Day Florence and Eclipse Finance Day 2012."}},{"from":"profiles/robert-blust","to":"skills/multi-tenant-saas-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built and scaled LIKE MAGIC's multi-tenant hospitality SaaS platform, serving 90+ customers, 430+ properties and 16,000+ units across the DACH region as of 2026."}},{"from":"profiles/robert-blust","to":"skills/observability","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Instrumented LIKE MAGIC's production platform on Google Cloud Monitoring and Cloud Trace, with alerting driven by defined SLOs, across a multi-tenant SaaS processing 89M+ platform events annually. End-to-end traceability and continuous monitoring and alerting were architecture principles the services were built to, not instrumentation added afterward."}},{"from":"profiles/robert-blust","to":"skills/open-source-stewardship","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Published CompanyGraph and GuestGraph as open core under Apache 2.0 — a license saying what is open and what could be paid for, conventions for a contributor, specs keeping the rejected alternatives beside the decisions, a release contract of tags and manifests so nothing depends on a moving target, and a reference instance an adopter can read (2026)."}},{"from":"profiles/robert-blust","to":"skills/organization-design","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Defined the department-wide role model at UBS — each role with its tasks and the competencies it carried, put through a formal consultation before it took effect (2004–2009) — then shaped the technology organization at 3AP as it scaled to about 70 people including a near-shore team in Serbia, and at LIKE MAGIC as it grew to 25."}},{"from":"profiles/robert-blust","to":"skills/platform-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Architected the SDLC toolchain for UBS Wealth Management & Swiss Bank (Jira, Confluence, GitHub Enterprise, Maven, Jenkins, Sonar) and owned the LIKE MAGIC platform, serving 90+ customers as of 2026."}},{"from":"profiles/robert-blust","to":"skills/process-orchestration","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned the Camunda (Zeebe) orchestration of the guest journey at Stay KooooK and LIKE MAGIC, the subject of a published Camunda case study citing a 95% self-check-in rate and 7,000 process instances per month."}},{"from":"profiles/robert-blust","to":"skills/product-discovery","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Put CompanyGraph and GuestGraph up for scrutiny in the open, each with a talk, a billing model and a stated outcome including a clean no (2026)."}},{"from":"profiles/robert-blust","to":"skills/product-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Defined and executed LIKE MAGIC's product and platform strategy across 12 business domains as co-founder and Head of Technology — API-first, with a managed public API and an event and data hub — on a platform that reached 90+ customers, 430+ properties and 16,000+ units."}},{"from":"profiles/robert-blust","to":"skills/public-speaking","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Spoke at Eclipse MDD Day 2010 on models as the enterprise's first-class artifacts, at Eclipse Day Florence and Eclipse Finance Day in 2012 on model-driven engineering and interface conformance, at UBS-internal brown-bag sessions on modeling, toolchain and architecture (2009–2015), and at CamundaCon 2022 in Berlin on how SV Group became a SaaS business on Camunda."}},{"from":"profiles/robert-blust","to":"skills/requirements-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned the Analysis & Design discipline in UBS Wealth Management & Business Banking's RUP rollout (2004–2009) — replaced the division's proprietary engineering process with a market-standard one, developed its service- and data-modeling methodology in Rational Method Composer, led the project team of ten, and coached the division's teams into it. Writes a reviewed specification before every plan and build on CompanyGraph and GuestGraph."}},{"from":"profiles/robert-blust","to":"skills/site-reliability-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Owned site reliability engineering, incident management and performance for LIKE MAGIC's production cloud platform across three environments, with automated weekly reporting against defined thresholds."}},{"from":"profiles/robert-blust","to":"skills/software-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned Stay KooooK's complete front-to-back architecture on reactive Spring Boot WebFlux and took software-architect responsibility for UBS's DynaRep platform (2004–2009)."}},{"from":"profiles/robert-blust","to":"skills/software-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built production systems across 25 years, from UBS's DynaRep repository (2004–2009) to LIKE MAGIC's Spring Boot WebFlux platform (2022–2026)."}},{"from":"profiles/robert-blust","to":"skills/software-modeling-uml-sysml-c4","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned the Analysis & Design discipline in the Rational Unified Process rollout at UBS Wealth Management & Business Banking, developed its service-modeling methodology in Rational Method Composer and UML, and coached the division's project teams into it (2004–2009)."}},{"from":"profiles/robert-blust","to":"skills/software-process-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned the Analysis & Design discipline in the Rational Unified Process and Enterprise Unified Process rollout at UBS Wealth Management & Business Banking, replacing the proprietary process with a market standard (2004–2009), then architected the division's SDLC toolchain (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/software-testing","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Ran unit and integration tests as engineering practice rather than a phase after the build — new behavior covered at the level that catches its regression the next time the code is touched, rather than coverage as a number. Built the Swisscard rewrite that way on Jenkins and JUnit (2015–2016), then made it part of 3AP's delivery process across client engagements and of LIKE MAGIC's pipelines on GitHub Actions."}},{"from":"profiles/robert-blust","to":"skills/solution-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Led 3AP's client bids on solution architecture including public tenders under Swiss procurement law and designed Flawa iQ's RFID and LoRaWAN solution, delivered as 10 working prototypes."}},{"from":"profiles/robert-blust","to":"skills/solution-selling","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Created technical concepts, proposals and pitches and led client bids including public tenders at 3AP, and presented the solution architecture in Aroov's winning pitch."}},{"from":"profiles/robert-blust","to":"skills/spec-driven-development","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built GuestGraph's identity-resolution engine and CompanyGraph — meta-model, tooling design and this reference instance — from written specifications, each reviewed before its plan and build, under conventions an agent pass enforces (2026)."}},{"from":"profiles/robert-blust","to":"skills/stakeholder-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Advised clients including Credit Suisse, Swisscard, AXA and Mobiliar as 3AP's CTO and presented the solution architecture in the winning Aroov and Stay KooooK pitches."}},{"from":"profiles/robert-blust","to":"skills/technical-writing","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Wrote the Analysis & Design methodology and guidance a UBS division worked to (2004–2009), built the LIKE MAGIC Mental Model as the organization's written context layer, and wrote CompanyGraph's conventions, design specs and worked example — prose other people follow, for readers who were not in the room."}},{"from":"profiles/robert-blust","to":"skills/vendor-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Ran LIKE MAGIC's AI and automation tooling as a managed portfolio — Claude Code per-seat team licenses, multi-provider tooling across Claude, Gemini and Copilot, and the build-versus-buy decision to self-host n8n on the platform's own Kubernetes rather than take the hosted service."}},{"from":"profiles/robert-blust","to":"sources/local","via":"source","attrs":{}},{"from":"skills/agentic-ai-development","to":"sources/local","via":"source","attrs":{}},{"from":"skills/agile-delivery","to":"sources/local","via":"source","attrs":{}},{"from":"skills/ai-governance","to":"sources/local","via":"source","attrs":{}},{"from":"skills/ai-strategy","to":"sources/local","via":"source","attrs":{}},{"from":"skills/ai-tool-integration-mcp","to":"sources/local","via":"source","attrs":{}},{"from":"skills/api-design","to":"sources/local","via":"source","attrs":{}},{"from":"skills/business-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/business-process-modeling-bpmn-dmn","to":"sources/local","via":"source","attrs":{}},{"from":"skills/change-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/ci-cd","to":"sources/local","via":"source","attrs":{}},{"from":"skills/cloud-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/community-building","to":"sources/local","via":"source","attrs":{}},{"from":"skills/company-vision-and-strategy","to":"sources/local","via":"source","attrs":{}},{"from":"skills/consulting","to":"sources/local","via":"source","attrs":{}},{"from":"skills/container-orchestration-kubernetes","to":"sources/local","via":"source","attrs":{}},{"from":"skills/context-engineering","to":"sources/local","via":"source","attrs":{}},{"from":"skills/conversational-ai","to":"sources/local","via":"source","attrs":{}},{"from":"skills/data-engineering","to":"sources/local","via":"source","attrs":{}},{"from":"skills/data-governance","to":"sources/local","via":"source","attrs":{}},{"from":"skills/data-modeling","to":"sources/local","via":"source","attrs":{}},{"from":"skills/data-protection-gdpr","to":"sources/local","via":"source","attrs":{}},{"from":"skills/database-design","to":"sources/local","via":"source","attrs":{}},{"from":"skills/devops","to":"sources/local","via":"source","attrs":{}},{"from":"skills/domain-driven-design","to":"sources/local","via":"source","attrs":{}},{"from":"skills/domain-specific-language-design","to":"sources/local","via":"source","attrs":{}},{"from":"skills/engineering-leadership","to":"sources/local","via":"source","attrs":{}},{"from":"skills/enterprise-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/event-driven-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/event-streaming","to":"sources/local","via":"source","attrs":{}},{"from":"skills/finops","to":"sources/local","via":"source","attrs":{}},{"from":"skills/frontend-development-typescript-react","to":"sources/local","via":"source","attrs":{}},{"from":"skills/identity-and-access-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/incident-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/information-security-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/infrastructure-as-code","to":"sources/local","via":"source","attrs":{}},{"from":"skills/integration-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/iot-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/it-governance","to":"sources/local","via":"source","attrs":{}},{"from":"skills/it-strategy","to":"sources/local","via":"source","attrs":{}},{"from":"skills/java","to":"sources/local","via":"source","attrs":{}},{"from":"skills/knowledge-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/legacy-modernization","to":"sources/local","via":"source","attrs":{}},{"from":"skills/machine-learning","to":"sources/local","via":"source","attrs":{}},{"from":"skills/mentoring-and-coaching","to":"sources/local","via":"source","attrs":{}},{"from":"skills/microservices-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/mlops","to":"sources/local","via":"source","attrs":{}},{"from":"skills/model-driven-engineering","to":"sources/local","via":"source","attrs":{}},{"from":"skills/multi-tenant-saas-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/observability","to":"sources/local","via":"source","attrs":{}},{"from":"skills/open-source-stewardship","to":"sources/local","via":"source","attrs":{}},{"from":"skills/organization-design","to":"sources/local","via":"source","attrs":{}},{"from":"skills/platform-engineering","to":"sources/local","via":"source","attrs":{}},{"from":"skills/process-orchestration","to":"sources/local","via":"source","attrs":{}},{"from":"skills/product-discovery","to":"sources/local","via":"source","attrs":{}},{"from":"skills/product-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/public-speaking","to":"sources/local","via":"source","attrs":{}},{"from":"skills/requirements-engineering","to":"sources/local","via":"source","attrs":{}},{"from":"skills/site-reliability-engineering","to":"sources/local"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Has worked below the surface, shaped it, or taught it.","fields":{"source":"Local","rank":"40"},"sections":[{"heading":"What it means","text":"Someone at this level knows where it breaks down and where it is simply wrong. They have worked\nbelow its surface, shaped it, or taught it.","tables":[]}],"owner":null,"path":"model/proficiency-levels/expert.md"},{"id":"proficiency-levels/familiar","type":"proficiency-level","name":"Familiar","tagline":"Needs support. Real use, with guidance or frequent reference.","fields":{"source":"Local","rank":"10"},"sections":[{"heading":"What it means","text":"Someone at this level has used it on real work, with guidance or frequent reference. They can\nfollow a conversation about it and make sense of other people's work in it.","tables":[]}],"owner":null,"path":"model/proficiency-levels/familiar.md"},{"id":"proficiency-levels/proficient","type":"proficiency-level","name":"Proficient","tagline":"Exercises judgment. Chooses between alternatives and can say why.","fields":{"source":"Local","rank":"30"},"sections":[{"heading":"What it means","text":"Someone at this level makes judgment calls in it and can explain why the alternatives are\nworse. Other people bring them their questions.","tables":[]}],"owner":null,"path":"model/proficiency-levels/proficient.md"},{"id":"profiles/robert-blust","type":"profile","name":"Robert Blust","tagline":"Technology executive and business architect — 25 years building platforms and products from explicit models, now modeling the company itself so people and AI agents can both work inside it.","fields":{"source":"Local"},"sections":[{"heading":"Skills","text":"","tables":[{"caption":null,"columns":["Skill","Level","Evidence"],"rows":[["Agentic AI development","Expert","Built CompanyGraph and GuestGraph agent-first under written conventions that encode the failure modes — an unresolvable reference is an error rather than a warning, so an agent cannot invent an entity; every validation pass must name what it did not check, so a clean report is never mistaken for a complete one. Earlier built LIKE MAGIC's internal AI marketplace on Claude (Claude Cowork), grounded in the Mental Model."],["Agile delivery","Competent","Served as Scrum Master and technical lead on central Wealth Management & Swiss Bank initiatives (2009–2015)."],["AI governance","Proficient","Defined LIKE MAGIC's AI governance as Head of Technology — a Human Oversight principle, data-privacy guardrails against training external LLMs on internal context, multi-provider tooling and cost governance — and held the company to it across plan, change and run."],["AI strategy","Proficient","Authored and executed LIKE MAGIC's company-wide AI strategy, from the internal rollout of assistants across plan, change and run to shipped customer-facing AI: architected the integration of d3x, ailean and onsai into the platform's staff solution."],["AI tool integration (MCP)","Competent","Wired Atlassian, Google Drive and Slack MCP servers into the agent that maintained the LIKE MAGIC Mental Model, reading and writing Confluence pages, Jira issues, Google Docs and Sheets so the knowledge base stayed in step with the systems it described, each command scoped to a named allowlist of the tools it could call. No server authored: the platform's own MCP layer was still roadmap at exit, as CompanyGraph's is now."],["API design","Expert","Established API and data management for UBS Wealth Management & Swiss Bank with generated XML-Schema and WSDL service contracts and led LIKE MAGIC's API-first strategy with a managed public API."],["Business architecture","Expert","Drove business architecture and capability modeling on EMF/Ecore at UBS Wealth Management & Swiss Bank for five years (2009–2015) then mapped LIKE MAGIC's 12 business domains as L0 concepts and L1 capabilities."],["Business process modeling (BPMN, DMN)","Proficient","Modeled the end-to-end guest journey from booking to check-out in Camunda BPMN at Stay KooooK and LIKE MAGIC."],["Change management","Proficient","Replaced UBS Wealth Management & Business Banking's proprietary engineering process with a market-standard one as owner of its Analysis & Design discipline, coaching project teams into it (2004–2009), then drove LIKE MAGIC's productive rollout of AI assistants across plan, change and run."],["CI/CD","Proficient","Built the Swisscard integration rewrite's pipeline on Jenkins and set LIKE MAGIC's CI/CD standards on GitHub Actions."],["Cloud architecture","Expert","Owned LIKE MAGIC's production cloud platform on Google Cloud and created the Aroov and Stay KooooK backend architectures on the same stack."],["Community building","Expert","Built internal communities of practice at UBS (2004–2009), led the division's Java Chief Developer committee for two years and co-led it for a further five (2009–2015), co-organized the three Eclipse events UBS hosted in Zürich (MDD Day 2010, Finance Day 2012 and 2014), represented UBS in the Eclipse Modeling Platform Working Group and served on the board of the Swiss Eclipse User Group within JUG Switzerland (2011–2014)."],["Company vision and strategy","Expert","Co-founded 3AP, which scaled to about 70 people, and co-founded LIKE MAGIC, building the platform behind 90+ customers and 16,000+ units as of 2026."],["Consulting","Proficient","Created technical concepts, proposals and pitches as 3AP's CTO (2015–2022), delivering award-winning client platforms in insurance, real estate, IoT and hospitality."],["Container orchestration (Kubernetes)","Proficient","Ran the Aroov, Stay KooooK and LIKE MAGIC backends on Google Kubernetes Engine."],["Context engineering","Expert","Built the LIKE MAGIC Mental Model as the organization's shared context layer and shipped it as a skill into the company's Claude environment, then generalized the approach into CompanyGraph — a published meta-model for describing a company as a graph both people and agents can read (2022–2026)."],["Conversational AI","Proficient","Architected the integration of d3x, ailean and onsai into LIKE MAGIC's staff solution — unified multi-channel guest messaging with AI agents answering, plus guest insights and staff handover."],["Data engineering","Proficient","Built LIKE MAGIC's event and data hub, the sink for every business event its services published: ingested into BigQuery for analytics, idempotent on the event id so a redelivery cannot double-count, and served back as a queryable event log. Earlier fed Credit Suisse's Master Data Repository from static source-code analysis and several source systems, and Flawa iQ's LoRaWAN telemetry into the ERP."],["Data governance","Competent","Built Credit Suisse's Master Data Repository so data stewards could be assigned and the golden-source distribution across the core systems mapped."],["Data modeling","Proficient","Built the canonical data model for UBS Wealth Management & Swiss Bank's enterprise data management (2009–2015)."],["Data protection (GDPR)","Competent","Ran LIKE MAGIC's GDPR compliance including the guardrail that no internal context trained external LLMs."],["Database design","Proficient","Worked with Oracle in UBS's DynaRep repository, MSSQL in the Swisscard rewrite and PostgreSQL with R2DBC/jOOQ across the LIKE MAGIC platform."],["DevOps","Expert","Established software-delivery processes and sustainable DevOps practices at 3AP and built LIKE MAGIC's production platform to DevOps standards on Google Cloud."],["Domain-driven design","Proficient","Cut LIKE MAGIC's platform along its 12 business domains — L0 concepts, L1 capabilities — so service and team boundaries followed the domain rather than the technical layering, and drove UBS Wealth Management & Swiss Bank's business architecture and capability modeling on EMF/Ecore for five years (2009–2015), where a canonical data model was what every interface contract in the division was defined against."],["Domain-specific language design","Expert","Built DynaRep's repository-based modeling tool and its code generators for UBS mainframe service interfaces (2004–2009) and defined data types, interfaces and service contracts platform-independently on EMF and Xtext (2009–2015)."],["Engineering leadership","Expert","Led the team building UBS Wealth Management & Swiss Bank's Eclipse-based tooling platform (2009–2015), then set the technology direction in two companies as co-founder — CTO at 3AP, Head of Technology at LIKE MAGIC — and owned the frame the engineering work happened in: the organizational structure and its roles, the reference architecture, the technology stack, the approvals every engagement had to pass, and the platform and AI budget. Carried that through 3AP's scale to about 70 people across two countries, and developed the technical leadership at LIKE MAGIC as it moved from a founding team to a 25-person product organization. Earlier at UBS, owned the Analysis & Design discipline in Wealth Management & Business Banking (2004–2009) and architected the SDLC toolchain that several hundred engineers across Wealth Management & Swiss Bank planned, built and released inside (2009–2015)."],["Enterprise architecture","Expert","Architected the Integration Architecture Tool Chain for UBS Wealth Management & Swiss Bank around a canonical data model with a central API and interface-portfolio repository (2009–2015)."],["Event streaming","Proficient","Built the services as producers and consumers on Spring Cloud Stream over a Google Cloud Pub/Sub binder — bindings declared per service, transport swappable underneath — from Stay KooooK in 2020 through LIKE MAGIC, carrying 89M+ platform events a year, and ran Kafka as the streaming backbone of Conperi's processing pipeline."],["Event-driven architecture","Expert","Designed Aroov's event-driven backend on Google Cloud Pub/Sub and built the LIKE MAGIC platform on Pub/Sub as its event hub."],["FinOps","Proficient","Budget holder for LIKE MAGIC's cloud platform and AI tooling. Forecast and governed spend across dev, test and production, with consumption KPIs defined in the Mental Model and weekly actuals generated from the Google Cloud billing API, routed to owners by role when a threshold was breached. Held platform cost flat as volume grew to 89M+ events annually, through continuous database and code optimization."],["Frontend development (TypeScript, React)","Proficient","Owned Stay KooooK's front-to-back architecture including its React frontend and shipped LIKE MAGIC's React/TypeScript/MUI frontend."],["Identity and access management","Competent","Built zero-trust API boundaries into the LIKE MAGIC platform."],["Incident management","Proficient","Owned LIKE MAGIC's production cloud platform on Google Cloud — reliability, incident response and performance — for a multi-tenant SaaS serving 90+ customers and 430+ properties while it processed 89M+ platform events annually, with alerting driven by defined SLOs."],["Information security management","Competent","Built LIKE MAGIC's information-security management toward ISO 27001 (in progress), GDPR compliance and zero-trust API boundaries."],["Infrastructure as code","Competent","Built LIKE MAGIC's production platform as Infrastructure-as-Code on Google Cloud."],["Integration architecture","Expert","Owned AXA Health's complete integration architecture into Adcubum Syrius and integrated 3 PMS (Mews, Apaleo, Oracle OHIP), 15+ smart-lock systems and 3 AI communication vendors (d3x, ailean, onsai) at LIKE MAGIC."],["IoT architecture","Competent","Designed Flawa iQ's sensing and LoRaWAN connectivity and the backend ingesting device telemetry into the ERP (2018–2019)."],["IT governance","Expert","Ran delivery governance and technology-stack approvals at 3AP and set the role-based review process for the division's central interface-portfolio repository."],["IT strategy","Expert","Owned technology strategy and reference architecture as 3AP's CTO (2015–2022) then defined LIKE MAGIC's product and platform strategy across 12 business domains."],["Java","Expert","Built Java systems from UBS's DynaRep repository (2004–2009) to Spring Boot and WebFlux platforms at Swisscard, AXA, Aroov, Stay KooooK and LIKE MAGIC."],["Knowledge management","Proficient","Built the LIKE MAGIC Mental Model as the organization's shared context layer and established communities of practice at UBS (2004–2009)."],["Legacy modernization","Proficient","Architected DynaRep, generating COBOL and Java implementations for UBS mainframe service interfaces (2004–2009), and replaced Swisscard's proprietary SOAP data-integration layer (2015)."],["Machine learning","Familiar","Architected the pipeline, the labeling tool and the serving path for Conperi, 3AP's applied-research proof of concept with ZHAW for reading health-insurance invoices (2018–2020), and followed the modeling work closely enough to build the platform it needed — GPU training nodes, a labeled dataset where none existed, held-out evaluation reported per document rather than per line. The models themselves were ZHAW's."],["Mentoring and coaching","Proficient","Coached UBS project teams in the Analysis & Design methodology and built internal communities of practice (2004–2009), mentored engineers at 3AP as it scaled to about 70 people, and developed the technical leadership at LIKE MAGIC as it grew from 5 to 25."],["Microservices architecture","Expert","Authored 3AP's microservice reference architecture — event-driven, 12-factor, the service cut driven by business capability — and built AXA Health, Flawa iQ and Aroov to it (2015–2022). Carried it into LIKE MAGIC as the platform's own: booking, guest, profile, payment, door access, messaging, operation and analytics services, each contract-first, with every integrated vendor reached through its own connector and a fallback path behind the realtime one."],["MLOps","Competent","Set up Conperi's training and serving split — a training service, a registry versioning each model with the metadata to reproduce it, and a separate serving service so a model could be replaced without redeploying its consumers — on a GKE platform built from cluster creation up, with GPU nodes provisioned for training and a labeling tool feeding the dataset. It stayed a proof of concept: no model of this was ever operated in production, so nothing here covers drift, rollback or retraining."],["Model-driven engineering","Expert","Built UBS's DynaRep model-driven repository and code generator (MDSD, 2004–2009), the Eclipse-based Integration Architecture Tool Chain drawing on the cross-industry Eclipse Modeling Platform Working Group (2009–2015), and Credit Suisse's Eclipse-CDO Master Data Repository (2016). Presented the approach publicly at Eclipse Day Florence and Eclipse Finance Day 2012."],["Multi-tenant SaaS architecture","Proficient","Built and scaled LIKE MAGIC's multi-tenant hospitality SaaS platform, serving 90+ customers, 430+ properties and 16,000+ units across the DACH region as of 2026."],["Observability","Proficient","Instrumented LIKE MAGIC's production platform on Google Cloud Monitoring and Cloud Trace, with alerting driven by defined SLOs, across a multi-tenant SaaS processing 89M+ platform events annually. End-to-end traceability and continuous monitoring and alerting were architecture principles the services were built to, not instrumentation added afterward."],["Open-source stewardship","Proficient","Published CompanyGraph and GuestGraph as open core under Apache 2.0 — a license saying what is open and what could be paid for, conventions for a contributor, specs keeping the rejected alternatives beside the decisions, a release contract of tags and manifests so nothing depends on a moving target, and a reference instance an adopter can read (2026)."],["Organization design","Proficient","Defined the department-wide role model at UBS — each role with its tasks and the competencies it carried, put through a formal consultation before it took effect (2004–2009) — then shaped the technology organization at 3AP as it scaled to about 70 people including a near-shore team in Serbia, and at LIKE MAGIC as it grew to 25."],["Platform engineering","Expert","Architected the SDLC toolchain for UBS Wealth Management & Swiss Bank (Jira, Confluence, GitHub Enterprise, Maven, Jenkins, Sonar) and owned the LIKE MAGIC platform, serving 90+ customers as of 2026."],["Process orchestration","Expert","Owned the Camunda (Zeebe) orchestration of the guest journey from Stay KooooK into LIKE MAGIC (2020–2023), the subject of a published Camunda case study citing a 95% self-check-in rate and 7,000 process instances per month, then led the reassessment at contract renewal and the move off it."],["Product discovery","Competent","Put CompanyGraph and GuestGraph up for scrutiny in the open, each with a talk, a billing model and a stated outcome including a clean no (2026)."],["Product management","Proficient","Defined and executed LIKE MAGIC's product and platform strategy across 12 business domains as co-founder and Head of Technology — API-first, with a managed public API and an event and data hub — on a platform that reached 90+ customers, 430+ properties and 16,000+ units."],["Public speaking","Proficient","Spoke at Eclipse MDD Day 2010 on models as the enterprise's first-class artifacts, at Eclipse Day Florence and Eclipse Finance Day in 2012 on model-driven engineering and interface conformance, at UBS-internal brown-bag sessions on modeling, toolchain and architecture (2009–2015), and at CamundaCon 2022 in Berlin on how SV Group became a SaaS business on Camunda."],["Requirements engineering","Expert","Owned the Analysis & Design discipline in UBS Wealth Management & Business Banking's RUP rollout (2004–2009) — replaced the division's proprietary engineering process with a market-standard one, developed its service- and data-modeling methodology in Rational Method Composer, led the project team of ten, and coached the division's teams into it. Writes a reviewed specification before every plan and build on CompanyGraph and GuestGraph."],["Site reliability engineering","Proficient","Owned site reliability engineering, incident management and performance for LIKE MAGIC's production cloud platform across three environments, with automated weekly reporting against defined thresholds."],["Software architecture","Expert","Owned Stay KooooK's complete front-to-back architecture on reactive Spring Boot WebFlux and took software-architect responsibility for UBS's DynaRep platform (2004–2009)."],["Software engineering","Expert","Built production systems across 25 years, from UBS's DynaRep repository (2004–2009) to LIKE MAGIC's Spring Boot WebFlux platform (2022–2026)."],["Software modeling (UML, SysML, C4)","Expert","Owned the Analysis & Design discipline in the Rational Unified Process rollout at UBS Wealth Management & Business Banking, developed its service-modeling methodology in Rational Method Composer and UML, and coached the division's project teams into it (2004–2009)."],["Software process engineering","Expert","Owned the Analysis & Design discipline in the Rational Unified Process and Enterprise Unified Process rollout at UBS Wealth Management & Business Banking, replacing the proprietary process with a market standard (2004–2009), then architected the division's SDLC toolchain (2009–2015)."],["Software testing","Proficient","Ran unit and integration tests as engineering practice rather than a phase after the build — new behavior covered at the level that catches its regression the next time the code is touched, rather than coverage as a number. Built the Swisscard rewrite that way on Jenkins and JUnit (2015–2016), then made it part of 3AP's delivery process across client engagements and of LIKE MAGIC's pipelines on GitHub Actions."],["Solution architecture","Expert","Led 3AP's client bids on solution architecture including public tenders under Swiss procurement law and designed Flawa iQ's RFID and LoRaWAN solution, delivered as 10 working prototypes."],["Solution selling","Proficient","Created technical concepts, proposals and pitches and led client bids including public tenders at 3AP, and presented the solution architecture in Aroov's winning pitch."],["Spec-driven development","Proficient","Built GuestGraph's identity-resolution engine and CompanyGraph — meta-model, tooling design and this reference instance — from written specifications, each reviewed before its plan and build, under conventions an agent pass enforces (2026)."],["Stakeholder management","Proficient","Advised clients including Credit Suisse, Swisscard, AXA and Mobiliar as 3AP's CTO and presented the solution architecture in the winning Aroov and Stay KooooK pitches."],["Technical writing","Expert","Wrote the Analysis & Design methodology and guidance a UBS division worked to (2004–2009), built the LIKE MAGIC Mental Model as the organization's written context layer, and wrote CompanyGraph's conventions, design specs and worked example — prose other people follow, for readers who were not in the room."],["Vendor management","Proficient","Ran LIKE MAGIC's AI and automation tooling as a managed portfolio — Claude Code per-seat team licenses, multi-provider tooling across Claude, Gemini and Copilot, and the build-versus-buy decision to self-host n8n on the platform's own Kubernetes rather than take the hosted service. Led the same call on Camunda at contract renewal, where the platform used a fraction of the engine and the choice was to build on it or leave it."]]}],"table":{"caption":null,"columns":["Skill","Level","Evidence"],"rows":[["Agentic AI development","Expert","Built CompanyGraph and GuestGraph agent-first under written conventions that encode the failure modes — an unresolvable reference is an error rather than a warning, so an agent cannot invent an entity; every validation pass must name what it did not check, so a clean report is never mistaken for a complete one. Earlier built LIKE MAGIC's internal AI marketplace on Claude (Claude Cowork), grounded in the Mental Model."],["Agile delivery","Competent","Served as Scrum Master and technical lead on central Wealth Management & Swiss Bank initiatives (2009–2015)."],["AI governance","Proficient","Defined LIKE MAGIC's AI governance as Head of Technology — a Human Oversight principle, data-privacy guardrails against training external LLMs on internal context, multi-provider tooling and cost governance — and held the company to it across plan, change and run."],["AI strategy","Proficient","Authored and executed LIKE MAGIC's company-wide AI strategy, from the internal rollout of assistants across plan, change and run to shipped customer-facing AI: architected the integration of d3x, ailean and onsai into the platform's staff solution."],["AI tool integration (MCP)","Competent","Wired Atlassian, Google Drive and Slack MCP servers into the agent that maintained the LIKE MAGIC Mental Model, reading and writing Confluence pages, Jira issues, Google Docs and Sheets so the knowledge base stayed in step with the systems it described, each command scoped to a named allowlist of the tools it could call. No server authored: the platform's own MCP layer was still roadmap at exit, as CompanyGraph's is now."],["API design","Expert","Established API and data management for UBS Wealth Management & Swiss Bank with generated XML-Schema and WSDL service contracts and led LIKE MAGIC's API-first strategy with a managed public API."],["Business architecture","Expert","Drove business architecture and capability modeling on EMF/Ecore at UBS Wealth Management & Swiss Bank for five years (2009–2015) then mapped LIKE MAGIC's 12 business domains as L0 concepts and L1 capabilities."],["Business process modeling (BPMN, DMN)","Proficient","Modeled the end-to-end guest journey from booking to check-out in Camunda BPMN at Stay KooooK and LIKE MAGIC."],["Change management","Proficient","Replaced UBS Wealth Management & Business Banking's proprietary engineering process with a market-standard one as owner of its Analysis & Design discipline, coaching project teams into it (2004–2009), then drove LIKE MAGIC's productive rollout of AI assistants across plan, change and run."],["CI/CD","Proficient","Built the Swisscard integration rewrite's pipeline on Jenkins and set LIKE MAGIC's CI/CD standards on GitHub Actions."],["Cloud architecture","Expert","Owned LIKE MAGIC's production cloud platform on Google Cloud and created the Aroov and Stay KooooK backend architectures on the same stack."],["Community building","Expert","Built internal communities of practice at UBS (2004–2009), led the division's Java Chief Developer committee for two years and co-led it for a further five (2009–2015), co-organized the three Eclipse events UBS hosted in Zürich (MDD Day 2010, Finance Day 2012 and 2014), represented UBS in the Eclipse Modeling Platform Working Group and served on the board of the Swiss Eclipse User Group within JUG Switzerland (2011–2014)."],["Company vision and strategy","Expert","Co-founded 3AP, which scaled to about 70 people, and co-founded LIKE MAGIC, building the platform behind 90+ customers and 16,000+ units as of 2026."],["Consulting","Proficient","Created technical concepts, proposals and pitches as 3AP's CTO (2015–2022), delivering award-winning client platforms in insurance, real estate, IoT and hospitality."],["Container orchestration (Kubernetes)","Proficient","Ran the Aroov, Stay KooooK and LIKE MAGIC backends on Google Kubernetes Engine."],["Context engineering","Expert","Built the LIKE MAGIC Mental Model as the organization's shared context layer and shipped it as a skill into the company's Claude environment, then generalized the approach into CompanyGraph — a published meta-model for describing a company as a graph both people and agents can read (2022–2026)."],["Conversational AI","Proficient","Architected the integration of d3x, ailean and onsai into LIKE MAGIC's staff solution — unified multi-channel guest messaging with AI agents answering, plus guest insights and staff handover."],["Data engineering","Proficient","Built LIKE MAGIC's event and data hub, the sink for every business event its services published: ingested into BigQuery for analytics, idempotent on the event id so a redelivery cannot double-count, and served back as a queryable event log. Earlier fed Credit Suisse's Master Data Repository from static source-code analysis and several source systems, and Flawa iQ's LoRaWAN telemetry into the ERP."],["Data governance","Competent","Built Credit Suisse's Master Data Repository so data stewards could be assigned and the golden-source distribution across the core systems mapped."],["Data modeling","Proficient","Built the canonical data model for UBS Wealth Management & Swiss Bank's enterprise data management (2009–2015)."],["Data protection (GDPR)","Competent","Ran LIKE MAGIC's GDPR compliance including the guardrail that no internal context trained external LLMs."],["Database design","Proficient","Worked with Oracle in UBS's DynaRep repository, MSSQL in the Swisscard rewrite and PostgreSQL with R2DBC/jOOQ across the LIKE MAGIC platform."],["DevOps","Expert","Established software-delivery processes and sustainable DevOps practices at 3AP and built LIKE MAGIC's production platform to DevOps standards on Google Cloud."],["Domain-driven design","Proficient","Cut LIKE MAGIC's platform along its 12 business domains — L0 concepts, L1 capabilities — so service and team boundaries followed the domain rather than the technical layering, and drove UBS Wealth Management & Swiss Bank's business architecture and capability modeling on EMF/Ecore for five years (2009–2015), where a canonical data model was what every interface contract in the division was defined against."],["Domain-specific language design","Expert","Built DynaRep's repository-based modeling tool and its code generators for UBS mainframe service interfaces (2004–2009) and defined data types, interfaces and service contracts platform-independently on EMF and Xtext (2009–2015)."],["Engineering leadership","Expert","Led the team building UBS Wealth Management & Swiss Bank's Eclipse-based tooling platform (2009–2015), then set the technology direction in two companies as co-founder — CTO at 3AP, Head of Technology at LIKE MAGIC — and owned the frame the engineering work happened in: the organizational structure and its roles, the reference architecture, the technology stack, the approvals every engagement had to pass, and the platform and AI budget. Carried that through 3AP's scale to about 70 people across two countries, and developed the technical leadership at LIKE MAGIC as it moved from a founding team to a 25-person product organization. Earlier at UBS, owned the Analysis & Design discipline in Wealth Management & Business Banking (2004–2009) and architected the SDLC toolchain that several hundred engineers across Wealth Management & Swiss Bank planned, built and released inside (2009–2015)."],["Enterprise architecture","Expert","Architected the Integration Architecture Tool Chain for UBS Wealth Management & Swiss Bank around a canonical data model with a central API and interface-portfolio repository (2009–2015)."],["Event streaming","Proficient","Built the services as producers and consumers on Spring Cloud Stream over a Google Cloud Pub/Sub binder — bindings declared per service, transport swappable underneath — from Stay KooooK in 2020 through LIKE MAGIC, carrying 89M+ platform events a year, and ran Kafka as the streaming backbone of Conperi's processing pipeline."],["Event-driven architecture","Expert","Designed Aroov's event-driven backend on Google Cloud Pub/Sub and built the LIKE MAGIC platform on Pub/Sub as its event hub."],["FinOps","Proficient","Budget holder for LIKE MAGIC's cloud platform and AI tooling. Forecast and governed spend across dev, test and production, with consumption KPIs defined in the Mental Model and weekly actuals generated from the Google Cloud billing API, routed to owners by role when a threshold was breached. Held platform cost flat as volume grew to 89M+ events annually, through continuous database and code optimization."],["Frontend development (TypeScript, React)","Proficient","Owned Stay KooooK's front-to-back architecture including its React frontend and shipped LIKE MAGIC's React/TypeScript/MUI frontend."],["Identity and access management","Competent","Built zero-trust API boundaries into the LIKE MAGIC platform."],["Incident management","Proficient","Owned LIKE MAGIC's production cloud platform on Google Cloud — reliability, incident response and performance — for a multi-tenant SaaS serving 90+ customers and 430+ properties while it processed 89M+ platform events annually, with alerting driven by defined SLOs."],["Information security management","Competent","Built LIKE MAGIC's information-security management toward ISO 27001 (in progress), GDPR compliance and zero-trust API boundaries."],["Infrastructure as code","Competent","Built LIKE MAGIC's production platform as Infrastructure-as-Code on Google Cloud."],["Integration architecture","Expert","Owned AXA Health's complete integration architecture into Adcubum Syrius and integrated 3 PMS (Mews, Apaleo, Oracle OHIP), 15+ smart-lock systems and 3 AI communication vendors (d3x, ailean, onsai) at LIKE MAGIC."],["IoT architecture","Competent","Designed Flawa iQ's sensing and LoRaWAN connectivity and the backend ingesting device telemetry into the ERP (2018–2019)."],["IT governance","Expert","Ran delivery governance and technology-stack approvals at 3AP and set the role-based review process for the division's central interface-portfolio repository."],["IT strategy","Expert","Owned technology strategy and reference architecture as 3AP's CTO (2015–2022) then defined LIKE MAGIC's product and platform strategy across 12 business domains."],["Java","Expert","Built Java systems from UBS's DynaRep repository (2004–2009) to Spring Boot and WebFlux platforms at Swisscard, AXA, Aroov, Stay KooooK and LIKE MAGIC."],["Knowledge management","Proficient","Built the LIKE MAGIC Mental Model as the organization's shared context layer and established communities of practice at UBS (2004–2009)."],["Legacy modernization","Proficient","Architected DynaRep, generating COBOL and Java implementations for UBS mainframe service interfaces (2004–2009), and replaced Swisscard's proprietary SOAP data-integration layer (2015)."],["Machine learning","Familiar","Architected the pipeline, the labeling tool and the serving path for Conperi, 3AP's applied-research proof of concept with ZHAW for reading health-insurance invoices (2018–2020), and followed the modeling work closely enough to build the platform it needed — GPU training nodes, a labeled dataset where none existed, held-out evaluation reported per document rather than per line. The models themselves were ZHAW's."],["Mentoring and coaching","Proficient","Coached UBS project teams in the Analysis & Design methodology and built internal communities of practice (2004–2009), mentored engineers at 3AP as it scaled to about 70 people, and developed the technical leadership at LIKE MAGIC as it grew from 5 to 25."],["Microservices architecture","Expert","Authored 3AP's microservice reference architecture — event-driven, 12-factor, the service cut driven by business capability — and built AXA Health, Flawa iQ and Aroov to it (2015–2022). Carried it into LIKE MAGIC as the platform's own: booking, guest, profile, payment, door access, messaging, operation and analytics services, each contract-first, with every integrated vendor reached through its own connector and a fallback path behind the realtime one."],["MLOps","Competent","Set up Conperi's training and serving split — a training service, a registry versioning each model with the metadata to reproduce it, and a separate serving service so a model could be replaced without redeploying its consumers — on a GKE platform built from cluster creation up, with GPU nodes provisioned for training and a labeling tool feeding the dataset. It stayed a proof of concept: no model of this was ever operated in production, so nothing here covers drift, rollback or retraining."],["Model-driven engineering","Expert","Built UBS's DynaRep model-driven repository and code generator (MDSD, 2004–2009), the Eclipse-based Integration Architecture Tool Chain drawing on the cross-industry Eclipse Modeling Platform Working Group (2009–2015), and Credit Suisse's Eclipse-CDO Master Data Repository (2016). Presented the approach publicly at Eclipse Day Florence and Eclipse Finance Day 2012."],["Multi-tenant SaaS architecture","Proficient","Built and scaled LIKE MAGIC's multi-tenant hospitality SaaS platform, serving 90+ customers, 430+ properties and 16,000+ units across the DACH region as of 2026."],["Observability","Proficient","Instrumented LIKE MAGIC's production platform on Google Cloud Monitoring and Cloud Trace, with alerting driven by defined SLOs, across a multi-tenant SaaS processing 89M+ platform events annually. End-to-end traceability and continuous monitoring and alerting were architecture principles the services were built to, not instrumentation added afterward."],["Open-source stewardship","Proficient","Published CompanyGraph and GuestGraph as open core under Apache 2.0 — a license saying what is open and what could be paid for, conventions for a contributor, specs keeping the rejected alternatives beside the decisions, a release contract of tags and manifests so nothing depends on a moving target, and a reference instance an adopter can read (2026)."],["Organization design","Proficient","Defined the department-wide role model at UBS — each role with its tasks and the competencies it carried, put through a formal consultation before it took effect (2004–2009) — then shaped the technology organization at 3AP as it scaled to about 70 people including a near-shore team in Serbia, and at LIKE MAGIC as it grew to 25."],["Platform engineering","Expert","Architected the SDLC toolchain for UBS Wealth Management & Swiss Bank (Jira, Confluence, GitHub Enterprise, Maven, Jenkins, Sonar) and owned the LIKE MAGIC platform, serving 90+ customers as of 2026."],["Process orchestration","Expert","Owned the Camunda (Zeebe) orchestration of the guest journey from Stay KooooK into LIKE MAGIC (2020–2023), the subject of a published Camunda case study citing a 95% self-check-in rate and 7,000 process instances per month, then led the reassessment at contract renewal and the move off it."],["Product discovery","Competent","Put CompanyGraph and GuestGraph up for scrutiny in the open, each with a talk, a billing model and a stated outcome including a clean no (2026)."],["Product management","Proficient","Defined and executed LIKE MAGIC's product and platform strategy across 12 business domains as co-founder and Head of Technology — API-first, with a managed public API and an event and data hub — on a platform that reached 90+ customers, 430+ properties and 16,000+ units."],["Public speaking","Proficient","Spoke at Eclipse MDD Day 2010 on models as the enterprise's first-class artifacts, at Eclipse Day Florence and Eclipse Finance Day in 2012 on model-driven engineering and interface conformance, at UBS-internal brown-bag sessions on modeling, toolchain and architecture (2009–2015), and at CamundaCon 2022 in Berlin on how SV Group became a SaaS business on Camunda."],["Requirements engineering","Expert","Owned the Analysis & Design discipline in UBS Wealth Management & Business Banking's RUP rollout (2004–2009) — replaced the division's proprietary engineering process with a market-standard one, developed its service- and data-modeling methodology in Rational Method Composer, led the project team of ten, and coached the division's teams into it. Writes a reviewed specification before every plan and build on CompanyGraph and GuestGraph."],["Site reliability engineering","Proficient","Owned site reliability engineering, incident management and performance for LIKE MAGIC's production cloud platform across three environments, with automated weekly reporting against defined thresholds."],["Software architecture","Expert","Owned Stay KooooK's complete front-to-back architecture on reactive Spring Boot WebFlux and took software-architect responsibility for UBS's DynaRep platform (2004–2009)."],["Software engineering","Expert","Built production systems across 25 years, from UBS's DynaRep repository (2004–2009) to LIKE MAGIC's Spring Boot WebFlux platform (2022–2026)."],["Software modeling (UML, SysML, C4)","Expert","Owned the Analysis & Design discipline in the Rational Unified Process rollout at UBS Wealth Management & Business Banking, developed its service-modeling methodology in Rational Method Composer and UML, and coached the division's project teams into it (2004–2009)."],["Software process engineering","Expert","Owned the Analysis & Design discipline in the Rational Unified Process and Enterprise Unified Process rollout at UBS Wealth Management & Business Banking, replacing the proprietary process with a market standard (2004–2009), then architected the division's SDLC toolchain (2009–2015)."],["Software testing","Proficient","Ran unit and integration tests as engineering practice rather than a phase after the build — new behavior covered at the level that catches its regression the next time the code is touched, rather than coverage as a number. Built the Swisscard rewrite that way on Jenkins and JUnit (2015–2016), then made it part of 3AP's delivery process across client engagements and of LIKE MAGIC's pipelines on GitHub Actions."],["Solution architecture","Expert","Led 3AP's client bids on solution architecture including public tenders under Swiss procurement law and designed Flawa iQ's RFID and LoRaWAN solution, delivered as 10 working prototypes."],["Solution selling","Proficient","Created technical concepts, proposals and pitches and led client bids including public tenders at 3AP, and presented the solution architecture in Aroov's winning pitch."],["Spec-driven development","Proficient","Built GuestGraph's identity-resolution engine and CompanyGraph — meta-model, tooling design and this reference instance — from written specifications, each reviewed before its plan and build, under conventions an agent pass enforces (2026)."],["Stakeholder management","Proficient","Advised clients including Credit Suisse, Swisscard, AXA and Mobiliar as 3AP's CTO and presented the solution architecture in the winning Aroov and Stay KooooK pitches."],["Technical writing","Expert","Wrote the Analysis & Design methodology and guidance a UBS division worked to (2004–2009), built the LIKE MAGIC Mental Model as the organization's written context layer, and wrote CompanyGraph's conventions, design specs and worked example — prose other people follow, for readers who were not in the room."],["Vendor management","Proficient","Ran LIKE MAGIC's AI and automation tooling as a managed portfolio — Claude Code per-seat team licenses, multi-provider tooling across Claude, Gemini and Copilot, and the build-versus-buy decision to self-host n8n on the platform's own Kubernetes rather than take the hosted service. Led the same call on Camunda at contract renewal, where the platform used a fraction of the engine and the choice was to build on it or leave it."]]}},{"heading":"Summary","text":"Technology executive with over 25 years building digital platforms, scaling engineering organizations and delivering complex transformation. Most recently co-founder and Head of Technology at LIKE MAGIC AG; previously CTO of 3AP AG, after 15 years at UBS AG, where I owned the engineering process and the toolchain several hundred engineers across the division worked inside. One thread runs through all of it: I build from explicit models rather than beside them — service contracts and a canonical data model at UBS, domains and capabilities at LIKE MAGIC. The newest turn is applying that to the company itself: LIKE MAGIC's Mental Model became the shared context layer for AI-assisted operations, and is now published as CompanyGraph. I believe AI is reshaping how we build software — moving the real constraint from “build fast” to “decide well” — and I bring business-critical platforms reliably into production under solid security and compliance standards (ISO 27001 in progress, GDPR / DSGVO).","tables":[]}],"owner":null,"path":"model/profiles/robert-blust/robert-blust.md"},{"id":"profiles/robert-blust/experiences/1999-ubs-trainee","type":"experience","name":"UBS IT-Developer Program","tagline":"Completed UBS's internal software-engineering program, the start of 15 years at UBS.","fields":{"source":"Local","kind":"Role","start":"1999-10","end":"2001-03","organization":"UBS AG"},"sections":[{"heading":"Achievements","text":"- Completed UBS's IT-Developer program: an eight-month course from October 1999, followed by a ten-month internship, graduating in March 2001.\n- Laid the foundation for nearly 14 further years and three roles within UBS Group IT.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/1999-ubs-trainee.md","stamp":{"kind":"Role","start":"1999-10","end":"2001-03"}},{"id":"profiles/robert-blust/experiences/2001-ubs-engineer","type":"experience","name":"Software Engineer / IT Developer","tagline":"Built UBS's intranet and internet web portals on IBM Portal Server, and led delivery of the WPS Portal application.","fields":{"source":"Local","kind":"Role","start":"2001-04","end":"2004-07","organization":"UBS AG","skills":["Java","Software engineering","Mentoring and coaching","Software architecture"]},"sections":[{"heading":"Achievements","text":"- Developed intranet and internet web portals on IBM Portal Server (Java Portlets, JSP, XML).\n- Led development and project delivery of the WPS Portal application, including its maintenance and extension.\n- Co-developed the ACE Foundation, the base that UBS Quotes and the Client Advisor Workbench were built on.\n- Onboarded Java developers onto the portal.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2001-ubs-engineer.md","stamp":{"kind":"Role","start":"2001-04","end":"2004-07"}},{"id":"profiles/robert-blust/experiences/2002-wirtschaftsinformatik-fh","type":"experience","name":"Business Information Systems UAS","tagline":"Studied business information systems part-time over four years, majoring in Technology Engineering.","fields":{"source":"Local","kind":"Education","start":"2002","end":"2006","organization":"AKAD University for Working Professionals","skills":["Model-driven engineering","Software architecture"]},"sections":[{"heading":"Achievements","text":"- Earned a four-year part-time degree awarded by the University of Applied Sciences of Argovia (Fachhochschule Aargau) and taught at AKAD, carrying the protected title Dipl. Wirtschaftsinformatiker FH.\n- Majored in Technology Engineering: software and web engineering, systems and network programming, IT management.\n- Combined computer science, business administration and project management.\n- Wrote the degree dissertation on Model-Driven Architecture (MDA) for component-based and service-oriented architecture (SOA).","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2002-wirtschaftsinformatik-fh.md","stamp":{"kind":"Education","start":"2002","end":"2006"}},{"id":"profiles/robert-blust/experiences/2004-ubs-solution-manager","type":"experience","name":"Solution Manager, Software Engineering — Analysis & Design","tagline":"Owned the Analysis & Design discipline in the software development life cycle rollout for UBS Wealth Management & Business Banking — RUP and EUP based — and architected DynaRep, the model-driven repository behind the division's mainframe service interfaces.","fields":{"source":"Local","kind":"Role","start":"2004-08","end":"2009-09","organization":"UBS AG","skills":["Software modeling (UML, SysML, C4)","Knowledge management","Change management","Organization design","Mentoring and coaching","Community building","Software process engineering","Requirements engineering","Java","Model-driven engineering","Domain-specific language design","Software architecture","Integration architecture","Legacy modernization","Database design"]},"sections":[{"heading":"Achievements","text":"- Owned the Analysis & Design discipline in the rollout of a software development life cycle based on the Rational Unified Process and the Enterprise Unified Process for UBS Wealth Management & Business Banking (WM&BB), replacing the proprietary engineering process with a market-standard one that the division's project teams then worked to.\n- Developed methodology and guidance for service and data modeling (Rational Method Composer, UML) — how a requirement was elicited, written and carried into a design the delivery teams worked from.\n- Architected and built “DynaRep – Dynamic Repository”, a repository-based modeling tool for managing UBS mainframe service interfaces — Eclipse plugins, web services and code generators producing the COBOL/Java service implementations (Java, SOAP, Oracle, MDSD).\n- Took on software-architect and project-management responsibility for the DynaRep platform, leading its project team of ten.\n- Defined the department-wide role model — each role with its tasks and the competencies it carried — and put it through a formal consultation before it took effect.\n- Worked with the Eclipse Modeling project from inside the methodology work — bringing requirements to it, reviewing concepts and building prototypes — and the cross-industry working group grew out of that cooperation.\n- Joined the division's Java Chief Developer committee and led it for two years.\n- Coached project teams in applying the methodology and built internal communities of practice.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2004-ubs-solution-manager.md","stamp":{"kind":"Role","start":"2004-08","end":"2009-09"}},{"id":"profiles/robert-blust/experiences/2009-ubs-architect","type":"experience","name":"IT Architect — Software Development Lifecycle Toolchain","tagline":"Architected the integration and SDLC toolchains for UBS Wealth Management & Swiss Bank, and drove the division's business architecture and capability modeling on EMF/Ecore.","fields":{"source":"Local","kind":"Role","start":"2009-10","end":"2015-01","organization":"UBS AG","skills":["Enterprise architecture","Business architecture","Domain-driven design","Agile delivery","Model-driven engineering","Domain-specific language design","Integration architecture","API design","Data modeling","IT governance","Platform engineering","Software process engineering","Public speaking","Community building"]},"sections":[{"heading":"Achievements","text":"- Architected the SDLC toolchain for UBS Wealth Management & Swiss Bank — the environment several hundred engineers across the division planned, built and released in (Jira, Confluence, GitHub Enterprise, Maven, Jenkins, Sonar), including the offshore-capable setup for decentralized agile development and its security and network design for external partner access.\n- Created the application architecture of the Integration Architecture Tool Chain for the division, built to reduce large numbers of point-to-point connections to an integration bus over defined concepts and open interface standards.\n- Cut it into three parts along the roles that used it: the canonical data model and the conformance measurement, both for the business domain architects who governed that model, and interface design for the developers and software architects who specified their interfaces against it.\n- The data model part held the canonical model itself and the platform-independent definitions of data types, interfaces and service contracts, generated the XML-Schema and WSDL artifacts from them, kept the central API and interface-portfolio repository, and ran the role-based review every team's interfaces had to pass.\n- The conformance part analyzed source code across the estate, the mainframe included, producing EMF graphs held in the CDO model repository and an automated metric for the technical coupling of software components and applications, which identified interactions between subsystems not conforming to the architecture's specifications.\n- Built the whole on Eclipse EMF, Xcore, Xtext and Xtend with a CDO model repository, drawing on outcomes from the Eclipse Modeling Platform Working Group.\n- Managed the tool portfolio supporting the software development process.\n- Drove the division's business architecture and capability modeling on EMF/Ecore, representing UBS internationally in the Eclipse Modeling Platform Working Group alongside Airbus, Ericsson, Alcatel-Lucent, SBB and SWIFT among others.\n- Co-organized the Eclipse events that brought the open-source modeling community to UBS in Zürich — MDD Day in 2010, then the Eclipse Finance Days, the Swiss forum for cross-company exchange on open source in financial services, in 2012 and 2014.\n- Built UBS's network into open-source communities and their standards, assessing where the firm could adopt them.\n- Continued on the division's Java Chief Developer committee, co-leading it for five years — the forum in which its lead engineers set common practice.\n- Led the team that implemented the tooling platform, an integrated Eclipse Modeling Framework stack built for model-based engineering, scalability and collaboration.\n- Scrum Master and technical lead in central WM&SB initiatives.\n- Spoke at UBS-internal brown-bag sessions on modeling, toolchain and architecture.","tables":[]},{"heading":"Ending","text":"Left in January 2015 after 15 years and four roles — the IT-Developer program, engineering, methodology, then architecture.\nEnough to back myself as a founder, and probably a little naive about what founding takes; I\nwanted to find out. We had founded 3AP that November; I went operative there the month after.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2009-ubs-architect.md","stamp":{"kind":"Role","start":"2009-10","end":"2015-01"}},{"id":"profiles/robert-blust/experiences/2010-eclipse-mdd-day","type":"experience","name":"Conference Speaker — Eclipse MDD Day 2010, Zürich","tagline":"Co-organized Eclipse MDD Day, brought it to UBS in Zürich-Altstetten and spoke on models as the enterprise's first-class artifacts.","fields":{"source":"Local","kind":"Community","start":"2010-10-28","end":"2010-10-28","url":"https://wiki.eclipse.org/Eclipse_MDD_Day","organization":"Eclipse Foundation","skills":["Model-driven engineering","Public speaking","Community building"]},"sections":[{"heading":"Achievements","text":"- Co-organized Eclipse MDD Day on 28 October 2010 and hosted it at UBS in Zürich-Altstetten, with itemis co-supporting — the first of the Eclipse events brought to UBS.\n- Presented “User Story: Models as First Class Citizens in the Enterprise”, on a program with Ed Merks (EMF project lead), Sven Efftinge (Xtext project lead), Eike Stepper (CDO project lead), and practitioners from SAP, Robert Bosch, RWE and Nord/LB.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2010-eclipse-mdd-day.md","stamp":{"kind":"Community","start":"2010-10-28","end":"2010-10-28"}},{"id":"profiles/robert-blust/experiences/2010-eclipse-modeling-platform","type":"experience","name":"Eclipse Modeling Platform Working Group","tagline":"Represented UBS in the Eclipse Foundation's cross-industry initiative to build an open-source modeling toolchain.","fields":{"source":"Local","kind":"Community","start":"2010-03","end":"2011-08","url":"https://wiki.eclipse.org/ModelingPlatform/","organization":"Eclipse Foundation","skills":["Model-driven engineering","Community building"]},"sections":[{"heading":"Achievements","text":"- Represented UBS in a cross-industry Eclipse Foundation initiative to build an integrated, open-source modeling toolchain — contributing alongside Airbus, Alcatel-Lucent, Atos, CEA LIST, Ericsson, Euranova, Fraunhofer FOKUS, Geensys, Generic Concept, itemis, Obeo, SBB and SWIFT.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2010-eclipse-modeling-platform.md","stamp":{"kind":"Community","start":"2010-03","end":"2011-08"}},{"id":"profiles/robert-blust/experiences/2011-jugs-board","type":"experience","name":"Board Member — Swiss Eclipse User Group","tagline":"Served on the board of the Swiss Eclipse User Group within JUG Switzerland.","fields":{"source":"Local","kind":"Community","start":"2011-08","end":"2014-12","url":"https://www.jug.ch/","organization":"JUG Switzerland","skills":["Community building"]},"sections":[{"heading":"Achievements","text":"- Board member of the Swiss Eclipse User Group — the Eclipse Special Interest Group within JUG Switzerland — from 2011 to 2014.\n- Co-organized the annual Eclipse DemoCamp (Zürich) and Eclipse Finance Day.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2011-jugs-board.md","stamp":{"kind":"Community","start":"2011-08","end":"2014-12"}},{"id":"profiles/robert-blust/experiences/2012-talk-eclipse-day-florence","type":"experience","name":"Conference Speaker — Eclipse Day Florence 2012","tagline":"Spoke at Eclipse Day Florence in May 2012 on data modeling at enterprise scale.","fields":{"source":"Local","kind":"Community","start":"2012-05-04","end":"2012-05-04","url":"https://www.youtube.com/watch?v=53jrNcbd5N0","organization":"Eclipse Foundation","skills":["Data modeling","Model-driven engineering","Public speaking"]},"sections":[{"heading":"Achievements","text":"- Presented “Eclipse Data Modeling at an Enterprise Scale” at Eclipse Day Florence on 4 May 2012, co-presented with Eike Stepper, lead of the Eclipse CDO project.\n- Covered the conformance half of the work as well as the modeling: source-code analysis rendered as EMF graphs, checked against the architecture's rules for interactions that broke a defined boundary.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2012-talk-eclipse-day-florence.md","stamp":{"kind":"Community","start":"2012-05-04","end":"2012-05-04"}},{"id":"profiles/robert-blust/experiences/2012-talk-eclipse-finance-day","type":"experience","name":"Conference Speaker — Eclipse Finance Day 2012, Zürich","tagline":"Spoke at Eclipse Finance Day in October 2012 on interface management in a large enterprise.","fields":{"source":"Local","kind":"Community","start":"2012-10-16","end":"2012-10-16","url":"https://wiki.eclipse.org/Eclipse_Finance_Day_2012/","organization":"Eclipse Foundation","skills":["Integration architecture","Software modeling (UML, SysML, C4)","Public speaking"]},"sections":[{"heading":"Achievements","text":"- Presented “Interface Management in a Large Enterprise” at Eclipse Finance Day on 16 October 2012 in Zürich, on UBS's Integration Architecture initiative: an end-to-end process and tooling to identify, specify, design and govern the interfaces between parts of the IT system.\n- The published abstract describes what the toolchain did: capture actual communication patterns through source-code analysis, produce EMF-based graphs that identify non-conformant interactions, hold platform-independent data types and interface specifications with policies, check conformance to architectural rules, generate XML-Schema and WSDL, and run governance through a central repository with role-based reviews.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2012-talk-eclipse-finance-day.md","stamp":{"kind":"Community","start":"2012-10-16","end":"2012-10-16"}},{"id":"profiles/robert-blust/experiences/2013-talk-eclipse-finance-day","type":"experience","name":"Conference Speaker — Eclipse Finance Day 2013, Zürich","tagline":"Spoke at Eclipse Finance Day in November 2013 on the UBS Integration Architecture Tool Chain.","fields":{"source":"Local","kind":"Community","start":"2013-11-05","end":"2013-11-05","url":"https://wiki.eclipse.org/Eclipse_Finance_Day_2013/","organization":"Eclipse Foundation","skills":["Integration architecture","Enterprise architecture","Public speaking"]},"sections":[{"heading":"Achievements","text":"- Presented “UBS Integration Architecture Tool Chain” at Eclipse Finance Day on 5 November 2013 at the Credit Suisse Tower in Zürich — the integration and interface toolchain built for UBS Wealth Management & Swiss Bank.\n- Where the 2012 talk was the initiative, this one was the toolchain's design: coarse-grained interfaces defined and maintained platform-independently with code generators producing the platform-specific implementations, a clear separation of interface definition from implementation from instantiation, versioning and ownership and cross-references as properties of the artifacts themselves, and continuous integration over the models.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2013-talk-eclipse-finance-day.md","stamp":{"kind":"Community","start":"2013-11-05","end":"2013-11-05"}},{"id":"profiles/robert-blust/experiences/2014-eclipse-finance-day-organizer","type":"experience","name":"Conference Organizer — Eclipse Finance Day 2014, Zürich","tagline":"Co-organized Eclipse Finance Day 2014 for the JUG Swiss Eclipse User Group and hosted it at UBS.","fields":{"source":"Local","kind":"Community","start":"2014-10","end":"2014-10","url":"https://wiki.eclipse.org/Eclipse_Finance_Day_2014/","organization":"Eclipse Foundation","skills":["Community building"]},"sections":[{"heading":"Achievements","text":"- Co-organized Eclipse Finance Day on 31 October 2014 for the JUG Swiss Eclipse User Group, alongside Matthias Zimmermann of BSI and Serano Colameo of itemis.\n- Brought the conference to UBS in Zürich Altstetten, giving Swiss financial institutions a venue to compare open-source practice.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2014-eclipse-finance-day-organizer.md","stamp":{"kind":"Community","start":"2014-10","end":"2014-10"}},{"id":"profiles/robert-blust/experiences/2015-3ap","type":"experience","name":"Co-Founder & CTO","tagline":"Co-founded 3AP AG and owned technology strategy and delivery governance as CTO while the company scaled from 5 to about 70 people.","fields":{"source":"Local","kind":"Role","start":"2015-02","end":"2022-03","organization":"3AP AG","skills":["IT strategy","IT governance","Engineering leadership","Stakeholder management","Consulting","Solution architecture","Microservices architecture","DevOps","Software testing","Company vision and strategy","Mentoring and coaching","Solution selling","Organization design","Software architecture","Event-driven architecture"]},"sections":[{"heading":"Achievements","text":"- Co-founded 3AP AG in November 2014 and went operative in February 2015 after leaving UBS; member of the management team.\n- The company scaled from 5 to about 70 people, including a near-shore team in Serbia.\n- Owned technology strategy, reference architecture and delivery governance.\n- Set the reference architecture and technology stack every client engagement had to fit, and joined the ramp-up of each new project to negotiate with the client's security and platform organizations so the delivery fit their environment.\n- Wrote that reference architecture as an event-driven, 12-factor microservice design with the service cut driven by business capability — the shape AXA Health, Flawa iQ and Aroov were each built to, and the one the hospitality platform carried into LIKE MAGIC.\n- Delivered flagship client platforms as lead architect and hands-on engineer across insurance, real-estate, IoT and hospitality.\n- One of them, the SV Group hospitality platform, became LIKE MAGIC — a spin-off from SV Group.\n- Created technical concepts, proposals and pitches.\n- Advised clients including Credit Suisse, Swisscard, AXA and Mobiliar (the driver behind Aroov).\n- Led client bids with a focus on solution architecture, across both public and private sector — including public tenders under Swiss procurement law / WTO rules.\n- Mentored the engineers as the company grew from 5 to about 70, the near-shore team in Serbia included.\n- Established software-delivery processes, technology-stack approvals and sustainable DevOps practices.\n- Made unit and integration tests part of how a feature was finished rather than a phase after it — new behavior covered at the level that catches its regression the next time the code is touched, which is where the coverage earns its keep.","tables":[]},{"heading":"Ending","text":"Left in March 2022 after seven years. Seven years of client platforms had settled what I wanted\nnext: to lead technology in a product company, and to stay with one product long enough to see\nit through. The SV Group hospitality platform spinning out as LIKE MAGIC was that chance.","tables":[]},{"heading":"References","text":"","tables":[{"caption":null,"columns":["What","URL"],"rows":[["Commercial register entry","https://www.zefix.ch/en/search/entity/list/firm/1201727"]]}],"table":{"caption":null,"columns":["What","URL"],"rows":[["Commercial register entry","https://www.zefix.ch/en/search/entity/list/firm/1201727"]]}}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2015-3ap.md","stamp":{"kind":"Role","start":"2015-02","end":"2022-03"}},{"id":"profiles/robert-blust/experiences/2015-swisscard-data-integration","type":"experience","name":"Swisscard — Data Integration Services Rewrite","tagline":"3AP · Backend Engineer.","fields":{"source":"Local","kind":"Project","start":"2015-12","end":"2016-09","organization":"Swisscard","skills":["API design","Java","Software testing","Database design","CI/CD","Legacy modernization"]},"sections":[{"heading":"Achievements","text":"- One of 3AP's first client mandates: replaced a proprietary Informatica Data Services SOAP layer fronting the core platform with a Spring Boot / Spring WS implementation — preserving the existing WSDL contract so no consumer had to change.\n- Built on Spring Boot / Spring Data / Spring WS with Jenkins, JUnit and MSSQL.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2015-swisscard-data-integration.md","stamp":{"kind":"Project","start":"2015-12","end":"2016-09"}},{"id":"profiles/robert-blust/experiences/2015-swisscom-agile-cockpit","type":"experience","name":"Swisscom — Agile Delivery Cockpit","tagline":"3AP · Integration Architect & Engineer.","fields":{"source":"Local","kind":"Project","start":"2015-09","end":"2015-11","organization":"Swisscom","skills":["Integration architecture","Java","API design","Software engineering"]},"sections":[{"heading":"Achievements","text":"- Early 3AP client mandate for Swisscom: as integration architect and developer, built a real-time cockpit that surfaces agile delivery status on a TV dashboard.\n- Integrated and aggregated data from Rally (agile ALM) and HP Quality Center (test management) via MuleSoft (Mule ESB): the Agile Release Train broken down into sprints per project/team, and test coverage against Quality Center.\n- Built with MuleSoft and the Rally and Quality Center REST/SOAP APIs plus a dashboard front end.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2015-swisscom-agile-cockpit.md","stamp":{"kind":"Project","start":"2015-09","end":"2015-11"}},{"id":"profiles/robert-blust/experiences/2016-credit-suisse-mdr","type":"experience","name":"Credit Suisse — Master Data Repository","tagline":"3AP · Lead Architect & Developer.","fields":{"source":"Local","kind":"Project","start":"2016-02","end":"2016-09","organization":"Credit Suisse","skills":["Model-driven engineering","Data governance","Data engineering","Solution architecture","Software architecture"]},"sections":[{"heading":"Achievements","text":"- Built the Master Data Repository (MDR) for Credit Suisse Client Data Management — managing data items and classifying their source systems so data stewards could be assigned, and mapping the distribution of data across the core systems (golden source vs. slave), identified and visualized for governance.\n- Delivered to satisfy a FINMA regulatory requirement.\n- Implemented on Eclipse CDO (EMF model repository) with an Angular frontend; CDO fed by static source-code analysis and multiple data sources to discover and connect the model.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2016-credit-suisse-mdr.md","stamp":{"kind":"Project","start":"2016-02","end":"2016-09"}},{"id":"profiles/robert-blust/experiences/2016-safe-practitioner","type":"experience","name":"Certified SAFe 4 Practitioner","tagline":"Certified SAFe 4 Practitioner and SAFe 4 for Teams, Scaled Agile, Inc.","fields":{"source":"Local","kind":"Education","start":"2016-10","end":"2016-10","organization":"Scaled Agile, Inc.","skills":["Agile delivery"]},"sections":[{"heading":"Achievements","text":"- Completed the SAFe 4.0 for Teams course and passed the SAFe Practitioner certification, effective 18 October 2016 (certificate 28616437–8064).\n- The certification was valid through 18 October 2017 and was not renewed; the practice it taught still informs how I run delivery.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2016-safe-practitioner.md","stamp":{"kind":"Education","start":"2016-10","end":"2016-10"}},{"id":"profiles/robert-blust/experiences/2017-axa-health-platform","type":"experience","name":"AXA Health — Digital Insurance Platform","tagline":"3AP · Lead Architect & Backend Engineer, about two years hands-on.","fields":{"source":"Local","kind":"Project","start":"2017-07","end":"2019-05","url":"https://3ap.ch/case_studies/digitale-gesundheitsplattform/","organization":"AXA Health","skills":["API design","Java","Integration architecture","Microservices architecture","Frontend development (TypeScript, React)","Solution architecture","Software architecture"]},"sections":[{"heading":"Achievements","text":"- A digital-first self-service platform for complementary health insurance — customers and brokers configure products, calculate quotes and purchase policies across two integrated apps over one backend.\n- Built its signature automated health-insurer switching service: AXA sells only complementary insurance, not the mandatory basic insurance (which, by Swiss law, every resident must hold and no insurer may refuse). The service compares basic-insurance premiums each year and automatically moves AXA's complementary-insurance customers to the cheapest basic insurer — saving about CHF 426 per year on average, with AXA taking no basic-insurance commission to keep the advice neutral.\n- Owned the complete integration architecture and its implementation, including the integration with the core insurance system Adcubum Syrius.\n- Built the Java/Spring Boot and Node.js backend with GraphQL APIs, to 3AP's microservice reference architecture.\n- Built the React/Next.js frontend on OpenShift.\n- Placed 3rd at the 2017 Swiss Insurance Innovation Prize.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2017-axa-health-platform.md","stamp":{"kind":"Project","start":"2017-07","end":"2019-05"}},{"id":"profiles/robert-blust/experiences/2018-conperi-automated-claims","type":"experience","name":"Conperi — Automated Claims Processing","tagline":"3AP · Architect — the platform, the labeling tool and the serving path, in an applied-research project with ZHAW.","fields":{"source":"Local","kind":"Project","start":"2018-11","end":"2020-10","organization":"3AP AG","skills":["Solution architecture","Cloud architecture","Container orchestration (Kubernetes)","Platform engineering","MLOps","Machine learning","Event streaming"]},"sections":[{"heading":"Achievements","text":"- An applied-research proof of concept for AXA Health: reading scanned invoices well enough to process a health-insurance claim without a person retyping it, built by 3AP with ZHAW as research partner.\n- Architected the processing pipeline as Kafka-streamed services — region detection over the scanned page, extraction of what was found, classification of the extracted positions, and a quality gate before anything downstream trusted the result.\n- Built and ran the platform underneath it on Google Kubernetes Engine, from cluster creation to the Kafka backbone, the document store, distributed tracing, the OAuth gateway in front of the services, and GPU nodes in the one region that had them so models could be trained where the data already was.\n- Built the labeling tool that made training possible: a browser application for drawing regions over an invoice and naming what each one held. Labeled invoices were the bottleneck the whole project ran into, and none existed before this.\n- Set up the training and serving split around the models — a service that trains, a registry that versions each model with the metadata to reproduce it, and a separate service that serves the chosen version — so a model could be replaced without redeploying what consumed it.\n- ZHAW made the modeling calls. The computer-vision work and the classifier that read a claim's positions were theirs; the pipeline they ran inside, the data that fed them and the path their output took to a consumer were 3AP's.\n- Ended as a proof of concept, which is what the funding instrument is for. Nothing from it went into production at AXA.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2018-conperi-automated-claims.md","stamp":{"kind":"Project","start":"2018-11","end":"2020-10"}},{"id":"profiles/robert-blust/experiences/2018-flawa-iq","type":"experience","name":"Flawa iQ — Networked First-Aid Kit","tagline":"3AP · Solution Architect — IoT sensing & connectivity.","fields":{"source":"Local","kind":"Project","start":"2018-07","end":"2019-02","url":"https://3ap.ch/case_studies/networked-first-aid-kit/","organization":"Flawa","skills":["Integration architecture","Solution architecture","Microservices architecture","IoT architecture","Data engineering","Cloud architecture","API design"]},"sections":[{"heading":"Achievements","text":"- An IoT first-aid kit for FLAWA AG that keeps itself stocked and compliant — Swiss firms are legally required to maintain first-aid supplies, so the kit detects missing or expired modules in real time and automatically triggers reordering, removing manual checks.\n- Ran the initial sensing research — how to detect the absence of an item within a defined volume — and selected RFID-tagged modules as the approach.\n- Evaluated the connectivity options (LoRaWAN vs. GSM); built the MVP on Swisscom's LoRaWAN network, with GSM selected for the later production version.\n- Together with comtac AG (a canton-St.-Gallen LoRaWAN electronics specialist), delivered an MVP of 10 working prototypes (RFID modules + LoRaWAN, backend on Google Cloud).\n- Built the backend that ingests device telemetry from Swisscom's LoRaWAN broker, plus an API feeding the data into the ERP — closing the loop so consumed or expired modules trigger automatic reordering, to 3AP's microservice reference architecture.\n- Won the “smart IoT” Award 2021, University of St. Gallen: https://flawa-iq.ch/de/blog/flawa-gewinnt-smart-iot-award","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2018-flawa-iq.md","stamp":{"kind":"Project","start":"2018-07","end":"2019-02"}},{"id":"profiles/robert-blust/experiences/2019-aroov-realestate","type":"experience","name":"Aroov — Digital Rental Platform","tagline":"3AP · Backend & Integration Architect.","fields":{"source":"Local","kind":"Project","start":"2019-08","end":"2020-09","url":"https://3ap.ch/case_studies/platform-for-digital-rental/","organization":"Aroov","skills":["Cloud architecture","Container orchestration (Kubernetes)","Event-driven architecture","Microservices architecture","Java","Integration architecture","Solution selling","Stakeholder management","Solution architecture"]},"sections":[{"heading":"Achievements","text":"- Digital rental platform — applicants apply for apartments in a few clicks; property managers get automated workflows and radically simpler applicant communication.\n- Founded by Mobiliar and Garaio REM (2019), merged with market leader flatfox.ch (2021).\n- Created the backend architecture — 3AP's microservice reference architecture in its event-driven form, on Google Cloud (Spring Boot, Kubernetes/GKE, Cloud Pub/Sub).\n- Designed the integration architecture connecting Aroov to Garaio REM, one of Switzerland's leading property-management systems (and an Aroov co-founder).\n- Presented the solution architecture in the winning sales pitch.\n- Placed in the Top 4 for the Digital Real Estate Award 2021.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2019-aroov-realestate.md","stamp":{"kind":"Project","start":"2019-08","end":"2020-09"}},{"id":"profiles/robert-blust/experiences/2020-stay-koook","type":"experience","name":"Stay KooooK — Digital Hospitality Platform","tagline":"3AP · Lead Architect (front-to-back) & Integrations.","fields":{"source":"Local","kind":"Project","start":"2020-03","end":"2022-03","url":"https://3ap.ch/case_studies/hospitality-platform/","organization":"SV Group","skills":["Cloud architecture","Container orchestration (Kubernetes)","Process orchestration","Business process modeling (BPMN, DMN)","Java","Frontend development (TypeScript, React)","Database design","Integration architecture","Software architecture","Stakeholder management","Solution architecture","Event-driven architecture","Event streaming","Microservices architecture"]},"sections":[{"heading":"Achievements","text":"- A digital hospitality platform for SV Group (“Stay KooooK”) putting the entire guest journey in one app — book, pay, check in, open the room, check out — replacing manual reception and paper processes (a 63-room hotel runs on just 2.4 FTE, ex-housekeeping).\n- Owned the complete architecture, front to back: React and TypeScript frontend, MUI from 2021; reactive Spring Boot WebFlux backend publishing and consuming through Spring Cloud Stream over Pub/Sub; Camunda (Zeebe) process orchestration; Google Cloud, Kubernetes and PostgreSQL.\n- Built the integrations into Apaleo PMS and Salto KS smart-door access.\n- Presented the solution architecture at the winning pitch.\n- Won Best Use of Technology at the Serviced Apartment Awards 2021; was nominated for the Best Swiss Web Award 2021 (Innovation).\n- The platform became LIKE MAGIC, a spin-off from SV Group — the point at which I left 3AP to co-found and build it up.\n- As likeMagic, the platform won gold for Best Digital Transformation and silver for Customer Driven Business Change and Transformation at the European Customer Experience Awards 2022: https://www.hocoso.com/asset-management/its-not-imagination-its-likemagic/","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2020-stay-koook.md","stamp":{"kind":"Project","start":"2020-03","end":"2022-03"}},{"id":"profiles/robert-blust/experiences/2022-likemagic","type":"experience","name":"Co-Founder & Head of Technology","tagline":"Built and ran the SaaS hospitality platform behind 90+ customers and 16,000+ units across DACH.","fields":{"source":"Local","kind":"Role","start":"2022-04","end":"2026-05","organization":"LIKE MAGIC AG","skills":["Agentic AI development","AI tool integration (MCP)","Context engineering","Conversational AI","AI strategy","AI governance","API design","Business architecture","Domain-driven design","Multi-tenant SaaS architecture","Microservices architecture","Cloud architecture","Container orchestration (Kubernetes)","Platform engineering","Database design","Integration architecture","Event-driven architecture","Identity and access management","Information security management","Data protection (GDPR)","Infrastructure as code","CI/CD","DevOps","Java","Software engineering","Software testing","Process orchestration","Business process modeling (BPMN, DMN)","Engineering leadership","IT strategy","Product management","Frontend development (TypeScript, React)","Event streaming","Data engineering","Knowledge management","Site reliability engineering","Observability","FinOps","Vendor management","Incident management","Change management","Mentoring and coaching","Company vision and strategy","Organization design"]},"sections":[{"heading":"Achievements","text":"- Co-founder and Head of Technology of LIKE MAGIC AG.\n- Owned the technology direction and developed the technical leadership as the company grew from 5 to 25 people.\n- Built and scaled a multi-tenant hospitality SaaS platform serving 90+ customers, 430+ properties and 16,000+ units across the DACH region — processing 1.5M+ reservations, 8.1M+ guest communications and 89M+ platform events annually, integrating 3 PMS (Mews, Apaleo, Oracle OHIP) and 15+ smart-lock systems into a unified guest experience.\n- Developed and executed the company-wide AI strategy — governance under a Human Oversight principle, organizational knowledge management and the productive rollout of AI assistants across plan, change and run; data-privacy guardrails (no internal context used to train external LLMs), multi-provider tooling (Claude, Gemini, Copilot, n8n) and cost governance.\n- Defined and executed the product and platform strategy across 12 business domains (L0 concepts, L1 capabilities) — API-first, with a managed public API and event/data hub, evolving toward an MCP-server layer so AI agents consume the platform directly.\n- Cut the platform into services by business capability — booking, guest, profile, payment, door access, messaging, operation and analytics — each stateless, self-contained, horizontally scalable and contract-first, with every integrated vendor reached through its own connector carrying a fallback path behind the realtime one.\n- Drove process orchestration with Camunda for the end-to-end guest journey (Booking → Check-in → Stay → Check-out), carried over from Stay KooooK and run until 2023.\n- Led the reassessment when the Camunda contract came up for renewal: the platform used a fraction of what the engine offered, so the choice was to build on it properly or take it out. Recommended building on it; the decision went to removal, and the orchestration was replaced with the platform's own in April 2023.\n- Featured in a Camunda reference case citing a 95% self-check-in rate, 9.0/10 guest happiness and 7,000 process instances per month.\n- Owned the production cloud platform (site reliability engineering, incident management, performance), built as Infrastructure-as-Code on Google Cloud with DevOps and CI/CD standards, unit and integration tests running on every pipeline.\n- Instrumented it on Cloud Monitoring and Cloud Trace with alerting driven by defined SLOs, end-to-end traceability and continuous monitoring being architecture principles the services were built to rather than instrumentation added afterward.\n- Built the LIKE MAGIC Mental Model — a structured organizational knowledge base (roles, processes, features, strategies, architecture decisions) that serves as the shared context layer for AI-assisted operations.\n- Kept it in step with the systems it described through MCP rather than bespoke integrations — Atlassian, Google Drive and Slack servers wired into the agent that maintained it, reading and writing Confluence pages, Jira issues, Google Docs and Sheets, each command scoped to a named allowlist of the tools it was allowed to call.\n- Built an internal AI marketplace on Claude (Claude Cowork) — giving teams governed access to AI assistants and agents, grounded in the Mental Model.\n- Architected the integration of AI communication vendors (d3x, ailean and onsai) into the staff solution — unified multi-channel guest messaging with AI agents answering, guest insights and staff collaboration.\n- Budget holder for the cloud platform and AI tooling — forecast and governed spend across dev, test and production, with consumption KPIs defined in the Mental Model and weekly actuals generated automatically from the Google Cloud billing API, routed to owners by role when a threshold was breached.\n- Held platform cost flat as volume grew to 89M+ events annually, through continuous database and code optimization.\n- Built information-security management: ISO 27001 (in progress), GDPR compliance and zero-trust API boundaries.\n- Published and consumed the platform's events through Spring Cloud Stream over a Pub/Sub binder, so a service declared its bindings and the transport stayed swappable underneath them.\n- Built the event and data hub every service published its business events to — ingesting them into BigQuery for analytics, idempotent on the event id so a redelivery cannot double-count, and serving them back as a queryable event log with webhook subscriptions for systems that needed them pushed.\n- Tech stack: Java, Spring Boot / WebFlux, Spring Cloud GCP, Spring Cloud Stream, PostgreSQL, R2DBC/jOOQ, Google Pub/Sub, BigQuery, GraphQL, React / TypeScript / MUI, Kubernetes (GKE), Camunda BPMN, GitHub Actions.","tables":[]},{"heading":"Ending","text":"Left in May 2026 after four years, with the platform mature at 90+ customers and 16,000+ units,\nto focus on where my own work was heading: modeling and AI, built in the open.","tables":[]},{"heading":"References","text":"","tables":[{"caption":null,"columns":["What","URL"],"rows":[["Commercial register entry","https://www.zefix.ch/en/search/entity/list/firm/1576900"]]}],"table":{"caption":null,"columns":["What","URL"],"rows":[["Commercial register entry","https://www.zefix.ch/en/search/entity/list/firm/1576900"]]}}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2022-likemagic.md","stamp":{"kind":"Role","start":"2022-04","end":"2026-05"}},{"id":"profiles/robert-blust/experiences/2022-talk-camundacon","type":"experience","name":"Conference Speaker — CamundaCon 2022, Berlin","tagline":"Co-presented at CamundaCon 2022 in Berlin on how SV Group became a SaaS business in six months on Camunda.","fields":{"source":"Local","kind":"Community","start":"2022-10-06","end":"2022-10-06","url":"https://page.camunda.com/talking-process-orchestration-with-likemagics-robert-blust","organization":"Camunda","skills":["Process orchestration","Public speaking"]},"sections":[{"heading":"Achievements","text":"- Co-presented *“From 'Intrapreneurs' to 'Entrepreneurs' in 6 months with user-centric innovation – Powered by Camunda”* with Markus Feller at CamundaCon 2022 in Berlin on 5–6 October 2022: how SV Group launched a new hotel brand through the crisis and turned it into a white-label SaaS business, LIKE MAGIC, on Camunda Platform 8. Session recordings: https://page.camunda.com/camundacon-2022-on-demand\n- Featured in Camunda's video *“Talking Process Orchestration with likeMagic's Robert Blust”*.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2022-talk-camundacon.md","stamp":{"kind":"Community","start":"2022-10-06","end":"2022-10-06"}},{"id":"profiles/robert-blust/experiences/2023-camunda-case-study","type":"experience","name":"Featured Case Study — LIKE MAGIC on Camunda","tagline":"Featured in Camunda's published case study on the SV Group hospitality platform behind Stay KooooK and LIKE MAGIC.","fields":{"source":"Local","kind":"Community","start":"2023-04","end":"2023-04","url":"https://camunda.com/case-studies/likemagic","organization":"Camunda","skills":["Process orchestration"]},"sections":[{"heading":"Achievements","text":"- Featured in Camunda's published case study “How SV Group launched an industry-disrupting platform in 6 months with Camunda” on the SV Group hospitality platform, cited there as “CTO of likeMagic” — the case study's own wording for a role whose title was Head of Technology.","tables":[]}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2023-camunda-case-study.md","stamp":{"kind":"Community","start":"2023-04","end":"2023-04"}},{"id":"profiles/robert-blust/experiences/2026-career-break","type":"experience","name":"Career break — ideation and product building","tagline":"Ongoing. Two open-core ideas built and published in the open, while looking for the next role.","fields":{"source":"Local","kind":"Independent","start":"2026-06","skills":["Product discovery","Open-source stewardship","Technical writing","Company vision and strategy","Agentic AI development","Knowledge management","Context engineering","Public speaking","Solution selling","Spec-driven development","Requirements engineering","Software architecture"]},"sections":[{"heading":"Achievements","text":"- Designed and published CompanyGraph, a meta-model for describing\n  a company as a graph of Markdown — core vocabulary, conventions, a worked example, a\n  tooling design — and built this repository as its reference instance.\n- Built GuestGraph, an identity-resolution engine for hospitality:\n  deterministic and probabilistic matching, a guest graph and API, explainable and\n  reversible merges.\n- Published both ideas as open core with a billing model and a talk each, deck, PDF and audio\n  in German and English, and put them up for scrutiny to a professional network.\n- Built the product work and the applications with AI coding agents as the primary tool,\n  spec-driven — a reviewed specification before every plan and build — under written\n  conventions and agent-run validation.\n- Applied for roles across technology leadership and architecture, each application a tailored\n  dossier generated from one source CV.","tables":[]},{"heading":"References","text":"","tables":[{"caption":null,"columns":["What","URL"],"rows":[["Product","https://companygraph.io"],["Product","https://guestgraph.io"]]}],"table":{"caption":null,"columns":["What","URL"],"rows":[["Product","https://companygraph.io"],["Product","https://guestgraph.io"]]}}],"owner":"profiles/robert-blust","path":"model/profiles/robert-blust/experiences/2026-career-break.md","stamp":{"kind":"Independent","start":"2026-06","end":null}},{"id":"skills/agentic-ai-development","type":"skill","name":"Agentic AI development","tagline":"Building software systems in which an AI model plans and takes multi-step actions toward a goal, often using tools, with limited step-by-step human direction.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Design the goals, tools and guardrails an AI agent can use to complete a task autonomously.\nBuild the loop that lets the agent plan, act, observe results and adjust its next action. Test\nfor failure modes specific to autonomous behavior, such as getting stuck in loops or taking\nunintended actions, and add safeguards to contain them.","tables":[]}],"owner":null,"path":"model/skills/agentic-ai-development.md"},{"id":"skills/agile-delivery","type":"skill","name":"Agile delivery","tagline":"Running iterative, incremental delivery using frameworks such as Scrum, Kanban or SAFe to organize team work.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Facilitate the planning, review and retrospective events that structure iterative delivery.\nManage a backlog, track flow or velocity and remove impediments that block the team. Adapt the\nchosen framework's ceremonies and artifacts to fit the team and the scale of the work. Typical\ntools: Jira, Azure DevOps, Trello.","tables":[]}],"owner":null,"path":"model/skills/agile-delivery.md"},{"id":"skills/ai-governance","type":"skill","name":"AI governance","tagline":"The decision rights, policies and oversight under which a company uses AI.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Define who may deploy which kind of AI system for which purpose, and under what human\noversight. Set the guardrails for data use, model providers and cost, and the review that\nchecks they hold. Keep the record regulators and customers will ask for, and adjust the rules\nwhen the law or the technology changes.","tables":[]}],"owner":null,"path":"model/skills/ai-governance.md"},{"id":"skills/ai-strategy","type":"skill","name":"AI strategy","tagline":"Deciding where and how a company adopts AI, and the sequence, investment and capabilities that get it there.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Assess which business activities AI can change materially and which it cannot yet. Set the\ndirection for adoption across plan, change and run, with the platforms, data and skills it\nrequires. Choose between building, buying and partnering per use case, and revisit the choices\nas the models and the market move.","tables":[]}],"owner":null,"path":"model/skills/ai-strategy.md"},{"id":"skills/ai-tool-integration-mcp","type":"skill","name":"AI tool integration (MCP)","tagline":"Connecting AI models and agents to external tools, data sources and systems through a standardized protocol so the AI can take real actions.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Build or configure servers that expose a system's capabilities as tools an AI agent can call.\nDefine the interface, permissions and error handling for each exposed tool so the agent can use\nit safely. Test how the agent selects and sequences tool calls and adjust the tool definitions\nto make behavior more predictable. Typical tools: Model Context Protocol (MCP).","tables":[]}],"owner":null,"path":"model/skills/ai-tool-integration-mcp.md"},{"id":"skills/api-design","type":"skill","name":"API design","tagline":"Designing the interfaces that let software systems and services exchange data and functionality.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Define the resources, operations and data contracts an interface exposes and document them so\nconsumers can integrate against them. Make decisions about versioning, error handling and\nconsistency that keep the interface usable as it evolves. Review real usage patterns and\nfeedback from consumers to refine the design over time. Typical tools: REST, GraphQL, OpenAPI.","tables":[]}],"owner":null,"path":"model/skills/api-design.md"},{"id":"skills/business-architecture","type":"skill","name":"Business architecture","tagline":"Modeling an organization's capabilities, value streams and operating structures independent of the technology that supports them.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Identify and map the capabilities, value streams and organizational structures a business\nrelies on. Use those models to assess where capabilities are duplicated, missing or misaligned\nwith strategy. Connect the business view to technology and process decisions so investment\ntargets the right capabilities.","tables":[]}],"owner":null,"path":"model/skills/business-architecture.md"},{"id":"skills/business-process-modeling-bpmn-dmn","type":"skill","name":"Business process modeling (BPMN, DMN)","tagline":"Diagramming business processes and decision logic using standardized notations so they can be analyzed, communicated and automated.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Map process flows and decision rules using notations such as BPMN for process steps and DMN for\ndecision logic. Work with process owners to validate that the model reflects how work actually\nhappens rather than how it is assumed to happen. Use the resulting models to identify\ninefficiencies or to hand off to process automation tooling. Typical tools: BPMN, DMN, Camunda.","tables":[]}],"owner":null,"path":"model/skills/business-process-modeling-bpmn-dmn.md"},{"id":"skills/change-management","type":"skill","name":"Change management","tagline":"Planning and guiding an organization through the human side of a transition so new ways of working actually take hold.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Assess the impact of a change on affected groups and build a plan to communicate, train and\nsupport them through it. Identify sources of resistance and work with sponsors and managers to\naddress them. Track adoption after go-live and reinforce the change until it becomes the new\nnormal.","tables":[]}],"owner":null,"path":"model/skills/change-management.md"},{"id":"skills/ci-cd","type":"skill","name":"CI/CD","tagline":"Automating the build, test and release steps that take a code change from commit to running in an environment.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Configure pipelines that build and test code automatically on every change and gate progression\non those results. Automate packaging and deployment so releases happen consistently and can be\nrepeated or rolled back reliably. Monitor pipeline health and adjust stages as the codebase,\ntests or release process change. Typical tools: Jenkins, GitHub Actions, GitLab CI.","tables":[]}],"owner":null,"path":"model/skills/ci-cd.md"},{"id":"skills/cloud-architecture","type":"skill","name":"Cloud architecture","tagline":"Designing systems that run on cloud infrastructure, using its services and elasticity rather than fixed, self-managed hardware.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Select cloud services and design patterns that meet a system's scalability, resilience and cost\nrequirements. Design for elasticity, fault tolerance across availability zones or regions and\nsecure use of managed services. Review cost and usage patterns to right-size the architecture\nas workloads change. Typical tools: AWS, Azure, Google Cloud Platform.","tables":[]}],"owner":null,"path":"model/skills/cloud-architecture.md"},{"id":"skills/community-building","type":"skill","name":"Community building","tagline":"Making a place where practitioners teach each other, and keeping it alive after the founding energy is gone.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Start with a recurring occasion — a meetup, a working group, a community of practice — and a\nreason to come that is not you. Hand roles to members early so the group survives your\nabsence. Connect the community outward, to the projects, vendors and standards bodies it\ndepends on, and measure it by what members do for each other.","tables":[]}],"owner":null,"path":"model/skills/community-building.md"},{"id":"skills/company-vision-and-strategy","type":"skill","name":"Company vision and strategy","tagline":"Where a company is going and why, and the few bets that get it there.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Say what the company is for in a sentence people repeat without you. Choose the markets,\nproducts and capabilities it will commit to, and name the ones it will not. Turn the choice\ninto a plan with owners, money and dates, and read the market back into it every quarter.\nCarry the vision into hiring, funding and partnership conversations until it is the company's,\nnot the founders'.","tables":[]}],"owner":null,"path":"model/skills/company-vision-and-strategy.md"},{"id":"skills/consulting","type":"skill","name":"Consulting","tagline":"Advising clients or internal stakeholders on how to address a problem, drawing on structured analysis and outside perspective.","fields":{"source":"Local","group":"Advisory"},"sections":[{"heading":"In practice","text":"Diagnose a client's problem through structured analysis, interviews and data review. Develop\nand present recommendations, weighing options against the client's constraints and priorities.\nSupport the client through implementation or handoff, adjusting recommendations as new\ninformation emerges.","tables":[]}],"owner":null,"path":"model/skills/consulting.md"},{"id":"skills/container-orchestration-kubernetes","type":"skill","name":"Container orchestration (Kubernetes)","tagline":"Managing the deployment, scaling and healing of containerized applications across a cluster of machines.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Define how containerized workloads are packaged, scheduled and scaled across a cluster.\nConfigure networking, storage and access controls that let services run reliably alongside each\nother. Monitor cluster health and respond to failures so workloads recover automatically rather\nthan needing manual intervention. Typical tools: Kubernetes, Helm, Docker.","tables":[]}],"owner":null,"path":"model/skills/container-orchestration-kubernetes.md"},{"id":"skills/context-engineering","type":"skill","name":"Context engineering","tagline":"Structuring what an AI model or agent is given to work with — the documents, definitions and rules in its context — so its output is grounded in how the organization actually works.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Decide what an agent needs to know for a task and shape it into something a model can load:\ncurated documents rather than raw dumps, explicit definitions rather than implied ones, rules\nwritten where the work happens. Keep the context where the people who own the facts can edit\nit, so it stays true without becoming a maintenance project of its own. Package and distribute\nit so every assistant works from the same version instead of a private copy. Test what the\nmodel does when context is missing or stale, and constrain it so a gap surfaces as a failure\nrather than as an invention.","tables":[]}],"owner":null,"path":"model/skills/context-engineering.md"},{"id":"skills/conversational-ai","type":"skill","name":"Conversational AI","tagline":"Systems that hold a dialogue with guests, customers or staff across several channels, increasingly with an AI agent answering rather than a person.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Decide whether to build the conversational layer or integrate a specialist vendor, and design\nthe boundary either way: which channels are unified, what the AI may answer on its own, and\nwhen a person takes over. Feed it the messaging history, identity and operational data it needs\nto answer specifically rather than generically. Keep the handover visible in one inbox so no\nconversation is dropped between the agent and the staff member. Watch what it does at the edge\nof what it knows, and make it escalate rather than guess.","tables":[]}],"owner":null,"path":"model/skills/conversational-ai.md"},{"id":"skills/data-engineering","type":"skill","name":"Data engineering","tagline":"Building the pipelines and infrastructure that move and transform data so it is reliably available for analysis or downstream systems.","fields":{"source":"Local","group":"Data"},"sections":[{"heading":"In practice","text":"Design and build pipelines that extract, transform and load data from source systems into\nstorage or analytics platforms. Handle data quality, schema changes and failure recovery so\ndownstream consumers can trust the data they receive. Optimize pipelines for throughput, cost\nand freshness as data volumes and requirements grow. Typical tools: Apache Spark, Airflow, dbt.","tables":[]}],"owner":null,"path":"model/skills/data-engineering.md"},{"id":"skills/data-governance","type":"skill","name":"Data governance","tagline":"Defining ownership, quality standards and policies for data so it stays trustworthy and consistent across an organization.","fields":{"source":"Local","group":"Data"},"sections":[{"heading":"In practice","text":"Define who owns and is accountable for different data domains and set standards for quality,\ndefinitions and lifecycle. Establish policies for access, retention and use of data, including\nmaster or reference data that many systems share. Run processes that monitor data quality and\nresolve inconsistencies across systems.","tables":[]}],"owner":null,"path":"model/skills/data-governance.md"},{"id":"skills/data-modeling","type":"skill","name":"Data modeling","tagline":"Representing the structure and meaning of an organization's data through conceptual, logical or physical models.","fields":{"source":"Local","group":"Data"},"sections":[{"heading":"In practice","text":"Define the entities, attributes and relationships that describe the data an organization holds.\nBuild models at different levels of abstraction, from conceptual business terms to physical\nschema, and keep them consistent with each other. Review and update models as the\norganization's data and understanding of it evolve.","tables":[]}],"owner":null,"path":"model/skills/data-modeling.md"},{"id":"skills/data-protection-gdpr","type":"skill","name":"Data protection (GDPR)","tagline":"Ensuring an organization's handling of personal data complies with data protection law and respects individuals' privacy rights.","fields":{"source":"Local","group":"Security and compliance"},"sections":[{"heading":"In practice","text":"Assess how personal data is collected, used and stored and identify where processing needs a\nlegal basis or additional safeguards. Run or support data protection impact assessments and\nmaintain records of processing activities. Handle data subject requests and breach\nnotifications and advise other parts of the organization on compliant data handling.","tables":[]}],"owner":null,"path":"model/skills/data-protection-gdpr.md"},{"id":"skills/database-design","type":"skill","name":"Database design","tagline":"Structuring how data is organized, related and constrained within a database so it supports an application's needs efficiently and correctly.","fields":{"source":"Local","group":"Data"},"sections":[{"heading":"In practice","text":"Model entities, relationships and constraints and turn them into a schema that supports the\napplication's queries. Make trade-offs between normalization, performance and flexibility based\non how the data will be read and written. Review and adjust the schema as usage patterns or\nrequirements change.","tables":[]}],"owner":null,"path":"model/skills/database-design.md"},{"id":"skills/devops","type":"skill","name":"DevOps","tagline":"Bringing development and operations work together so software is built, tested, released and run as one continuous flow.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Build and maintain the automation, tooling and shared practices that let development and\noperations teams collaborate on the same pipeline. Work to shorten the cycle between writing\ncode and running it reliably in production, often owning both the build process and aspects of\nlive operation. Use feedback from production, such as incidents or performance data, to improve\nthe development process itself. Typical tools: Docker, Kubernetes, CI/CD platforms.","tables":[]}],"owner":null,"path":"model/skills/devops.md"},{"id":"skills/domain-driven-design","type":"skill","name":"Domain-driven design","tagline":"Structuring software around the business domain's own concepts and language rather than around technical layers.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Work with domain experts to build a shared vocabulary and model of the business domain.\nIdentify bounded contexts and use them to draw system and team boundaries that mirror the\ndomain's natural divisions. Keep the code's structure and terminology aligned with that domain\nmodel as understanding deepens.","tables":[]}],"owner":null,"path":"model/skills/domain-driven-design.md"},{"id":"skills/domain-specific-language-design","type":"skill","name":"Domain-specific language design","tagline":"A language built for one domain — its metamodel, syntax and semantics — so that experts can state their intent directly and tools can act on it.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Identify the concepts a domain's experts actually reason in and fix them as a metamodel. Give\nthe language a concrete syntax, textual or graphical, with the constraints that make an invalid\nmodel unwritable. Build the editor, validation and generators around it, and evolve the\nlanguage with the domain without breaking existing models. Typical tools: EMF, Ecore, Xtext,\nSirius, MPS.","tables":[]}],"owner":null,"path":"model/skills/domain-specific-language-design.md"},{"id":"skills/engineering-leadership","type":"skill","name":"Engineering leadership","tagline":"Leading and growing software engineering organizations, balancing technical direction with people and delivery outcomes.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Set technical direction and standards across one or more engineering teams and grow the\norganization's structure to match. Hire, coach and develop engineers and managers, and build\nthe processes that let teams deliver reliably at scale. Balance long-term technical investment\nagainst short-term delivery pressure and represent engineering priorities to the rest of the\norganization.","tables":[]}],"owner":null,"path":"model/skills/engineering-leadership.md"},{"id":"skills/enterprise-architecture","type":"skill","name":"Enterprise architecture","tagline":"Designing the structure of an organization's business capabilities, information and technology so they work together as one coherent system.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Map current business capabilities, data and technology landscapes and define target-state\narchitectures that close identified gaps. Set architecture principles and standards that guide\nindividual projects and technology choices. Review proposed initiatives for alignment with the\ntarget architecture and adjust it as strategy or constraints change.","tables":[]}],"owner":null,"path":"model/skills/enterprise-architecture.md"},{"id":"skills/event-driven-architecture","type":"skill","name":"Event-driven architecture","tagline":"Designing systems where components communicate by producing and reacting to events rather than through direct calls.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Identify the events that matter to a system and design the producers, consumers and channels\nthat carry events between them. Make decisions about ordering, delivery guarantees and how\ncomponents stay decoupled while still working together. Design for failure modes specific to\nasynchronous systems, such as duplicate or out-of-order events. Typical tools: Kafka, RabbitMQ,\nAWS EventBridge.","tables":[]}],"owner":null,"path":"model/skills/event-driven-architecture.md"},{"id":"skills/event-streaming","type":"skill","name":"Event streaming","tagline":"Building systems that publish, transport and consume continuous streams of events in near real time.","fields":{"source":"Local","group":"Data"},"sections":[{"heading":"In practice","text":"Design topics or streams, partitioning and retention policies that fit how data will be\nproduced and consumed. Build producers and consumers that handle ordering, delivery guarantees\nand backpressure correctly. Monitor stream throughput and lag to catch consumers falling behind\nbefore it affects downstream systems. Typical tools: Kafka, Kinesis, Pulsar.","tables":[]}],"owner":null,"path":"model/skills/event-streaming.md"},{"id":"skills/finops","type":"skill","name":"FinOps","tagline":"Managing cloud and technology spend so cost stays visible, accountable and aligned with the value delivered.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Track cloud and technology spend against budgets and attribute it to the teams or products\nresponsible. Identify opportunities to reduce waste, such as underused resources or inefficient\npricing commitments, and work with engineering teams to act on them. Build reporting and\nforecasts that let the organization make informed trade-offs between cost and performance.\nTypical tools: AWS Cost Explorer, CloudHealth, Kubecost.","tables":[]}],"owner":null,"path":"model/skills/finops.md"},{"id":"skills/frontend-development-typescript-react","type":"skill","name":"Frontend development (TypeScript, React)","tagline":"Building user-facing web applications using TypeScript and component-based frameworks such as React.","fields":{"source":"Local","group":"Software development"},"sections":[{"heading":"In practice","text":"Build user interface components and manage application state so the interface reflects\nunderlying data correctly. Use static typing to catch errors before runtime and structure code\nso components remain reusable and testable. Optimize rendering performance and handle browser\ncompatibility and accessibility concerns as the application grows. Typical tools: TypeScript,\nReact, Redux.","tables":[]}],"owner":null,"path":"model/skills/frontend-development-typescript-react.md"},{"id":"skills/identity-and-access-management","type":"skill","name":"Identity and access management","tagline":"Controlling who can authenticate to systems and what they are authorized to do once inside.","fields":{"source":"Local","group":"Security and compliance"},"sections":[{"heading":"In practice","text":"Design and configure authentication and authorization mechanisms, including protocols such as\nOAuth or OIDC, that verify identity and grant access. Define roles, permissions and access\npolicies and review them to keep access aligned with actual need. Investigate access-related\nincidents and remove or adjust access as roles change. Typical tools: OAuth, OIDC, Okta.","tables":[]}],"owner":null,"path":"model/skills/identity-and-access-management.md"},{"id":"skills/incident-management","type":"skill","name":"Incident management","tagline":"Detecting, responding to and resolving disruptions to a service so normal operation is restored as quickly as possible.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Triage incoming alerts to assess severity and impact and coordinate the people needed to\ninvestigate and restore service. Communicate status to affected stakeholders throughout the\nincident and decide when it can be declared resolved. Run or contribute to a post-incident\nreview that captures root cause and follow-up actions.","tables":[]}],"owner":null,"path":"model/skills/incident-management.md"},{"id":"skills/information-security-management","type":"skill","name":"Information security management","tagline":"Establishing and operating a management system that identifies, treats and monitors information security risk across an organization.","fields":{"source":"Local","group":"Security and compliance"},"sections":[{"heading":"In practice","text":"Identify information assets and assess the risks they face, then define policies and controls\nto treat those risks. Run an ongoing management system, such as one aligned to ISO 27001, that\nincludes audits, incident handling and continuous improvement. Report security posture and\nresidual risk to leadership and adjust controls as threats or the organization change.","tables":[]}],"owner":null,"path":"model/skills/information-security-management.md"},{"id":"skills/infrastructure-as-code","type":"skill","name":"Infrastructure as code","tagline":"Defining and provisioning infrastructure through versioned, executable configuration rather than manual setup.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Write declarative or scripted definitions of infrastructure and apply them through an automated\npipeline. Version those definitions alongside application code and review changes before they\nreach live environments. Use the same definitions to reproduce environments consistently and to\nroll back when a change causes problems. Typical tools: Terraform, CloudFormation, Pulumi.","tables":[]}],"owner":null,"path":"model/skills/infrastructure-as-code.md"},{"id":"skills/integration-architecture","type":"skill","name":"Integration architecture","tagline":"Designing how disparate systems and applications connect and exchange data across an organization.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Map the systems that need to exchange data and design the integration patterns, message formats\nand middleware that connect them. Decide between approaches such as point-to-point connections,\nan enterprise service bus or event-based integration based on the scale and coupling required.\nDesign for failure handling, data consistency and monitoring across integration points.","tables":[]}],"owner":null,"path":"model/skills/integration-architecture.md"},{"id":"skills/iot-architecture","type":"skill","name":"IoT architecture","tagline":"Designing the path from a physical device to a business system: sensing, connectivity, ingestion, use.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Choose the sensing and the radio for the device's power, range and cost, not for the\ndemo. Design the ingestion so that unreliable, bursty telemetry becomes a clean stream the\nbusiness systems can consume. Prototype with real devices in the real environment before\ncommitting to a platform. Typical tools: LoRaWAN, RFID, MQTT.","tables":[]}],"owner":null,"path":"model/skills/iot-architecture.md"},{"id":"skills/it-governance","type":"skill","name":"IT governance","tagline":"Establishing decision rights, policies and oversight structures that keep IT activity accountable and aligned with organizational objectives.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Define who can make which technology decisions and set the policies, standards and controls\nthose decisions must follow. Run governance forums that review risk, compliance and investment\nchoices, and track adherence to agreed frameworks. Adjust the governance structure as the\norganization and its regulatory context evolve.","tables":[]}],"owner":null,"path":"model/skills/it-governance.md"},{"id":"skills/it-strategy","type":"skill","name":"IT strategy","tagline":"Setting a multi-year direction for IT investment and architecture that aligns with business goals.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Assess market and technology trends, current capability gaps and business priorities to set a\nforward-looking direction for technology investment. Translate that direction into principles,\nroadmaps and target architectures that guide subsequent decisions. Engage executive\nstakeholders to secure buy-in and funding, and revisit the strategy as conditions change.","tables":[]}],"owner":null,"path":"model/skills/it-strategy.md"},{"id":"skills/java","type":"skill","name":"Java","tagline":"Building software using the Java programming language and its surrounding ecosystem of libraries and runtime.","fields":{"source":"Local","group":"Software development"},"sections":[{"heading":"In practice","text":"Write and maintain Java code, applying its object-oriented features and concurrency model to\nsolve application problems. Use the surrounding ecosystem, such as build tools, frameworks and\nlibraries, to structure and package applications. Tune and debug applications running on the\nJava virtual machine, including memory and performance issues specific to that runtime. Typical\ntools: Java, Spring, Maven.","tables":[]}],"owner":null,"path":"model/skills/java.md"},{"id":"skills/knowledge-management","type":"skill","name":"Knowledge management","tagline":"Capturing, organizing and sharing an organization's knowledge so it remains accessible and useful beyond the individuals who created it.","fields":{"source":"Local","group":"Advisory"},"sections":[{"heading":"In practice","text":"Capture knowledge from people and projects and organize it so others can find and reuse it.\nDesign processes and tools that make contributing and searching knowledge easy enough that\npeople actually do it. Review content over time for accuracy and relevance and retire or update\nmaterial that has gone stale.","tables":[]}],"owner":null,"path":"model/skills/knowledge-management.md"},{"id":"skills/legacy-modernization","type":"skill","name":"Legacy modernization","tagline":"Bringing a system built for another era forward without stopping the business that runs on it.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Wrap the legacy system in a stable interface before touching its inside. Generate rather\nthan hand-write the bridging code where the interfaces are numerous and regular. Replace one\nlayer at a time, keeping the old path alive until the new one has carried production load.\nTypical tools: mainframe service interfaces, COBOL, SOAP, code generators.","tables":[]}],"owner":null,"path":"model/skills/legacy-modernization.md"},{"id":"skills/machine-learning","type":"skill","name":"Machine learning","tagline":"Building models that learn patterns from data and use them to make predictions or decisions on new data.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Prepare and explore data, select and train models and evaluate them against relevant\nperformance metrics. Tune model architecture and hyperparameters and validate results against\nheld-out data to avoid overfitting. Monitor deployed models for drift or degraded performance\nand retrain as needed.","tables":[]}],"owner":null,"path":"model/skills/machine-learning.md"},{"id":"skills/mentoring-and-coaching","type":"skill","name":"Mentoring and coaching","tagline":"Growing other people's judgment and skill on purpose, one conversation and one review at a time.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Give people problems slightly beyond them and stay close enough that failing is safe. Ask before\ntelling, and tell when asking would waste their week. Review work for the thinking behind it,\nnot only the result, and say what was good as precisely as what was not. Build the places —\ncommunities of practice, pairing, retrospectives — where people teach each other without you.","tables":[]}],"owner":null,"path":"model/skills/mentoring-and-coaching.md"},{"id":"skills/microservices-architecture","type":"skill","name":"Microservices architecture","tagline":"Designing a system as a set of independently deployable services organized around business capabilities.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Decompose a system into services with clear boundaries and define how those services\ncommunicate and share data. Design for independent deployment, resilience to partial failure\nand observability across service boundaries. Weigh the added operational complexity against the\nflexibility gained from decoupling services. Typical tools: Kubernetes, Docker, Istio.","tables":[]}],"owner":null,"path":"model/skills/microservices-architecture.md"},{"id":"skills/mlops","type":"skill","name":"MLOps","tagline":"Operating the pipelines and infrastructure that take machine learning models from training into reliable production use.","fields":{"source":"Local","group":"AI"},"sections":[{"heading":"In practice","text":"Build pipelines that automate data preparation, training, validation and deployment of models.\nVersion models, data and experiments so results are reproducible, and monitor deployed models\nfor performance and drift. Coordinate rollbacks and retraining when a model's behavior degrades\nin production. Typical tools: MLflow, Kubeflow, SageMaker.","tables":[]}],"owner":null,"path":"model/skills/mlops.md"},{"id":"skills/model-driven-engineering","type":"skill","name":"Model-driven engineering","tagline":"Using formal models as the primary artifact of software development, generating code or other artifacts from them rather than writing them by hand.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Define metamodels or domain-specific languages that capture a problem in a structured, formal\nway. Build or configure generators that transform those models into code, configuration or\ndocumentation. Keep the models as the source of truth, regenerating downstream artifacts as the\nmodels change rather than editing generated output directly.","tables":[]}],"owner":null,"path":"model/skills/model-driven-engineering.md"},{"id":"skills/multi-tenant-saas-architecture","type":"skill","name":"Multi-tenant SaaS architecture","tagline":"Designing a software system so a single deployment serves many customers securely and efficiently while keeping their data and usage isolated.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Decide how tenants share or are isolated from underlying compute, storage and configuration.\nDesign for per-tenant data isolation, customization and scaling so one tenant's usage cannot\naffect another's experience. Plan onboarding, billing and upgrade paths that work across the\nwhole tenant base rather than one customer at a time.","tables":[]}],"owner":null,"path":"model/skills/multi-tenant-saas-architecture.md"},{"id":"skills/observability","type":"skill","name":"Observability","tagline":"Instrumenting systems so their internal state can be understood from the data they produce, and using that data to detect and diagnose issues.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Instrument applications and infrastructure to emit logs, metrics and traces that reveal what is\nhappening inside a system. Build dashboards and alerts that surface meaningful signals and\nreduce noise from irrelevant ones. Use that telemetry to diagnose the root cause of incidents\nand to spot degradation before it becomes an outage. Typical tools: Prometheus, Grafana,\nDatadog.","tables":[]}],"owner":null,"path":"model/skills/observability.md"},{"id":"skills/open-source-stewardship","type":"skill","name":"Open-source stewardship","tagline":"Running a public project so that strangers can adopt it, contribute to it and trust it to stay.","fields":{"source":"Local","group":"Software development"},"sections":[{"heading":"In practice","text":"Choose the license for the outcome you want and say what is open and what could ever be\npaid for. Write the README for the adopter, the conventions for the contributor and the\nspec for the person who will disagree with you later. Release on a contract — versions,\ntags, a manifest — so that nobody depends on a moving target. Keep the decisions and the\nrejected alternatives in the repository, where the next maintainer can find them.","tables":[]}],"owner":null,"path":"model/skills/open-source-stewardship.md"},{"id":"skills/organization-design","type":"skill","name":"Organization design","tagline":"Deciding how a growing company divides its work, its decisions and its people.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Draw the teams around the products or domains they own, not around the technologies they\nuse. Decide what a team may decide alone and what needs the room. Design for the next size,\nnot the current one — including where a distributed or near-shore team fits — and recruit\nand develop the leaders each new shape requires.","tables":[]}],"owner":null,"path":"model/skills/organization-design.md"},{"id":"skills/platform-engineering","type":"skill","name":"Platform engineering","tagline":"Building internal platforms and tooling that let product teams self-service infrastructure and common capabilities without depending on a central operations team.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Design and build the golden paths, templates and self-service tools that other engineering\nteams use to provision infrastructure and deploy applications. Gather requirements from those\ninternal teams and treat the platform itself as a product with its own roadmap. Balance\nstandardization, which reduces support burden, against flexibility for teams with unusual\nneeds.","tables":[]}],"owner":null,"path":"model/skills/platform-engineering.md"},{"id":"skills/process-orchestration","type":"skill","name":"Process orchestration","tagline":"Coordinating the execution of multi-step business processes across systems and services using a dedicated orchestration engine.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Model processes as executable workflows and configure an engine to run, track and recover them\nacross their lifecycle. Integrate process steps with the underlying systems and services that\nperform the actual work. Monitor running process instances and handle failures or exceptions so\nprocesses complete correctly. Typical tools: Camunda, Zeebe, AWS Step Functions.","tables":[]}],"owner":null,"path":"model/skills/process-orchestration.md"},{"id":"skills/product-discovery","type":"skill","name":"Product discovery","tagline":"Finding out whether a product should exist before building it — the problem, the buyer, the price, the no.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Write the idea down as a claim that can be wrong: who has the problem, what they pay for\ntoday, what would make them switch. Put the smallest real thing in front of them — a talk, a\nmodel, a worked example — and collect the objections rather than the compliments. Set the\noutcome you will accept before you start, including a clean no, and publish what you\nlearned either way.","tables":[]}],"owner":null,"path":"model/skills/product-discovery.md"},{"id":"skills/product-management","type":"skill","name":"Product management","tagline":"Defining what a product should do and why, and steering its development to deliver value to users and the business.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Gather user and market insight to define product vision, priorities and roadmap. Translate that\nvision into requirements and backlog items, working closely with design and engineering to ship\nincrements. Track outcomes after release and adjust priorities based on what is learned.","tables":[]}],"owner":null,"path":"model/skills/product-management.md"},{"id":"skills/public-speaking","type":"skill","name":"Public speaking","tagline":"Explaining technical work to a room so that people leave able to act on it.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Pick the one idea the audience should take home and build the talk backward from it. Show\nthe real system, the real numbers and the real mistake, not the slide version. Rehearse until\nthe timing is yours, then leave room for the questions that tell you what landed.","tables":[]}],"owner":null,"path":"model/skills/public-speaking.md"},{"id":"skills/requirements-engineering","type":"skill","name":"Requirements engineering","tagline":"Eliciting, documenting and managing what a system or change needs to do so that stakeholders and delivery teams share the same understanding.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Elicit needs from stakeholders through interviews, workshops or observation and turn them into\nclear, testable requirements. Organize and prioritize those requirements, trace them through\ndesign and delivery and manage changes as understanding evolves. Validate delivered\nfunctionality against the original requirements to confirm the need was actually met.","tables":[]}],"owner":null,"path":"model/skills/requirements-engineering.md"},{"id":"skills/site-reliability-engineering","type":"skill","name":"Site reliability engineering","tagline":"Applying engineering methods to operations so that systems meet defined reliability targets at scale.","fields":{"source":"Local","group":"Cloud and platform"},"sections":[{"heading":"In practice","text":"Define service level objectives and error budgets and use them to decide when to prioritize\nreliability work over new features. Automate operational tasks that would otherwise require\nrepetitive manual effort and build tooling that makes systems easier to diagnose and recover.\nLead or contribute to incident response and follow up with changes that reduce the chance of\nrecurrence.","tables":[]}],"owner":null,"path":"model/skills/site-reliability-engineering.md"},{"id":"skills/software-architecture","type":"skill","name":"Software architecture","tagline":"Defining the high-level structure of a software system, including its components, their responsibilities and how they interact.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Decompose a system into components and define the interfaces and interactions between them.\nMake and document decisions about structure, technology choices and trade-offs such as\nperformance, maintainability and scalability. Review implementation to confirm it stays\nconsistent with the intended structure as the system evolves.","tables":[]}],"owner":null,"path":"model/skills/software-architecture.md"},{"id":"skills/software-engineering","type":"skill","name":"Software engineering","tagline":"Designing, writing, testing and maintaining software that meets defined requirements and can be operated reliably over time.","fields":{"source":"Local","group":"Software development"},"sections":[{"heading":"In practice","text":"Translate requirements into working code, choosing algorithms, data structures and patterns\nthat fit the problem. Write automated tests, review code with peers and refactor to keep the\ncodebase maintainable as it grows. Debug and fix defects across the lifecycle, from initial\ndevelopment through production support.","tables":[]}],"owner":null,"path":"model/skills/software-engineering.md"},{"id":"skills/software-modeling-uml-sysml-c4","type":"skill","name":"Software modeling (UML, SysML, C4)","tagline":"Using standardized diagram notations to represent a system's structure and behavior so it can be communicated and reasoned about before or alongside implementation.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Choose a notation appropriate to the audience and purpose, such as UML for software structure,\nSysML for systems engineering or C4 for architecture at different zoom levels. Produce diagrams\nthat capture components, interactions or processes and keep them consistent with the system as\nit evolves. Use the models to communicate design intent to other engineers or stakeholders and\nto reason about a design before it is built.","tables":[]}],"owner":null,"path":"model/skills/software-modeling-uml-sysml-c4.md"},{"id":"skills/software-process-engineering","type":"skill","name":"Software process engineering","tagline":"Designing how an organization builds software — the method, the disciplines, the toolchain — and getting it adopted.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Define the disciplines, artifacts and roles a delivery process needs, and write them down\nwhere teams will find them. Replace a home-grown method with a standard one where a standard\nexists. Build the toolchain that makes the process the easy path, and coach teams until it is\nhow they work rather than what they were told. Typical tools: Rational Method Composer, Jira,\nConfluence, Jenkins, SonarQube.","tables":[]}],"owner":null,"path":"model/skills/software-process-engineering.md"},{"id":"skills/software-testing","type":"skill","name":"Software testing","tagline":"Verifying that software behaves as intended and catching defects before they reach production.","fields":{"source":"Local","group":"Software development"},"sections":[{"heading":"In practice","text":"Design test cases that cover expected behavior, edge cases and failure conditions at unit,\nintegration or end-to-end levels. Execute those tests manually or through automation and\ninvestigate failures to distinguish real defects from flaky tests. Track coverage and defect\ntrends to focus testing effort where risk is highest. Typical tools: JUnit, Selenium, Cypress.","tables":[]}],"owner":null,"path":"model/skills/software-testing.md"},{"id":"skills/solution-architecture","type":"skill","name":"Solution architecture","tagline":"Designing the technical solution for a specific initiative so it meets functional and non-functional requirements within the wider technology landscape.","fields":{"source":"Local","group":"Architecture"},"sections":[{"heading":"In practice","text":"Translate business and functional requirements into a technical design spanning applications,\nintegrations and infrastructure. Evaluate design options against constraints such as\nperformance, security and cost, and choose an approach that fits the surrounding architecture.\nGuide implementation teams through the design and adjust it as issues surface during build.","tables":[]}],"owner":null,"path":"model/skills/solution-architecture.md"},{"id":"skills/solution-selling","type":"skill","name":"Solution selling","tagline":"Winning work by showing a client the solution to their problem before they have paid for it.","fields":{"source":"Local","group":"Strategy"},"sections":[{"heading":"In practice","text":"Read the tender or the brief for the problem behind the requirements. Shape a solution\narchitecture that answers it, price it honestly and present it as the people who will build\nit. Lead the bid across proposal, pitch and negotiation, and walk away from work that cannot\nbe delivered as promised.","tables":[]}],"owner":null,"path":"model/skills/solution-selling.md"},{"id":"skills/spec-driven-development","type":"skill","name":"Spec-driven development","tagline":"Writing down what a system must do, and why, before any of it is built — and building only against that text.","fields":{"source":"Local","group":"Modeling and process"},"sections":[{"heading":"In practice","text":"Write the specification first: purpose, decisions, the alternatives rejected and why, what is\nout of scope. Get it reviewed by the people who will disagree later, then derive the plan and\nthe tests from it rather than from the code. Keep the spec in the repository beside the code\nit governs and change it before changing the behavior. Let agents and people build from the\nsame text. Typical tools: spec-kit, Markdown specs and plans in the repository.","tables":[]}],"owner":null,"path":"model/skills/spec-driven-development.md"},{"id":"skills/stakeholder-management","type":"skill","name":"Stakeholder management","tagline":"Identifying, engaging and maintaining productive working relationships with the people who have an interest in or influence over an initiative.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Identify stakeholders and understand their interests, concerns and level of influence.\nCommunicate progress, negotiate expectations and resolve conflicting priorities across those\ngroups. Keep relationships productive over time so decisions get the input and support they\nneed.","tables":[]}],"owner":null,"path":"model/skills/stakeholder-management.md"},{"id":"skills/technical-writing","type":"skill","name":"Technical writing","tagline":"Writing that lets a reader understand and act on a technical thing without asking the author.","fields":{"source":"Local","group":"Advisory"},"sections":[{"heading":"In practice","text":"Decide what the reader needs to do after reading, and cut everything that does not serve\nit. State decisions, the alternatives that lost and the reasons, so the text survives its\nauthor. Keep one term per concept and the same term throughout. Show the real example\nrather than the generic one, and read the text back as the person who was not in the\nroom.","tables":[]}],"owner":null,"path":"model/skills/technical-writing.md"},{"id":"skills/vendor-management","type":"skill","name":"Vendor management","tagline":"Selecting, contracting and overseeing external suppliers so their delivery meets agreed commitments.","fields":{"source":"Local","group":"Leadership"},"sections":[{"heading":"In practice","text":"Evaluate and select suppliers, negotiate contracts and service levels and monitor ongoing\nperformance against them. Manage the relationship day to day, resolving issues and\nrenegotiating terms as needs change. Balance cost, quality and risk across the supplier base.","tables":[]}],"owner":null,"path":"model/skills/vendor-management.md"},{"id":"sources/local","type":"source","name":"Local","tagline":"Written and kept in this repository, which masters every page in the model. Nothing syncs it, and it issues no identifiers, so no page carries a `source-id`.","fields":{},"sections":[],"owner":null,"path":"model/sources/local.md"},{"id":"values/build-the-alternative-before-making-the-point","type":"value","name":"Build the alternative before making the point","tagline":"Naming what is broken is free, so it is not a position until something works differently.","fields":{"source":"Local"},"sections":[{"heading":"In practice","text":"I do not publish a criticism until I have built the thing that answers it, and then the working\nalternative is what I lead with — the argument comes second and can be lost without the point\ncollapsing. Where I cannot build it, I say the problem is real and leave the criticism unmade.\n\nI never let a complaint stand as a position.","tables":[]}],"owner":null,"path":"model/values/build-the-alternative-before-making-the-point.md"},{"id":"values/decide-well-over-build-fast","type":"value","name":"Decide well over build fast","tagline":"AI moved the constraint from building quickly to deciding correctly; the decision is the work.","fields":{"source":"Local"},"sections":[{"heading":"In practice","text":"I write the decision down before the code — with the alternatives that lost and why — so the\nnext person can disagree with a reason rather than a rewrite. I spend the time that fast\nbuilding saves on choosing well, because the constraint moved there.\n\nI never ship a feature in a day and argue about it for a quarter because nobody can say what\nit was for.","tables":[]}],"owner":null,"path":"model/values/decide-well-over-build-fast.md"},{"id":"values/grow-the-people-with-the-platform","type":"value","name":"Grow the people with the platform","tagline":"A platform that outgrows the team that runs it is a liability with good uptime.","fields":{"source":"Local"},"sections":[{"heading":"In practice","text":"I grow the organization as deliberately as the platform — hiring, practices, ownership — so\nthat every part of the system has someone who could be woken up for it and would know what\nto do. I judge a platform by the team that can run it without me.\n\nI never let five people know everything while twenty wait for them.","tables":[]}],"owner":null,"path":"model/values/grow-the-people-with-the-platform.md"},{"id":"values/model-it-before-you-build-it","type":"value","name":"Model it before you build it","tagline":"A business described as concepts and capabilities is one that people and AI can both act inside of.","fields":{"source":"Local"},"sections":[{"heading":"In practice","text":"I keep a written model — domains, capabilities, processes, rules — that the code, the org\nchart and the agents all refer back to, and I keep it where the people who own the facts can\nedit it. I build from the model, not beside it.\n\nI never let the model live in three heads and a slide deck, with every system encoding a\nslightly different version of it.","tables":[]}],"owner":null,"path":"model/values/model-it-before-you-build-it.md"},{"id":"values/production-is-the-finish-line","type":"value","name":"Production is the finish line","tagline":"A platform counts when it runs for customers under real security and compliance obligations, not when the demo works.","fields":{"source":"Local"},"sections":[{"heading":"In practice","text":"I own reliability, incident management and the audit trail as part of building the thing. I\ntreat ISO 27001 and GDPR as design inputs, not a form to fill in after. I call it done when it\nruns for customers under real obligations, not when the demo works.\n\nI never meet a launch date with a system nobody is on call for.","tables":[]}],"owner":null,"path":"model/values/production-is-the-finish-line.md"},{"id":"vision","type":"vision","name":"One model, true everywhere","tagline":"Whoever asks about my work — a person, a search engine, an agent — reaches the same answer, because every surface they can reach derives from one model I keep, and no claim in it stands without its evidence.","fields":{"source":"Local"},"sections":[{"heading":"What it means","text":"Everything public about my work is derived rather than maintained. One model holds the facts:\nwhat I have built, which capabilities I claim and on what evidence, and what I hold to. The CV\nand its per-application dossiers, the website and its talks, the LinkedIn profile and the\nloadable skill bundle are outputs of it. When two of them disagree the model is what gets\ncorrected and the surfaces are rebuilt; none of them is edited on its own.\n\nThe claim is not that any single surface is good. It is that they agree — because someone\nasking about me increasingly asks a machine, and a machine assembling an answer from\ncontradictory sources produces either mush or a confident error. I would know this holds when\nthe same question put to a person, to a search engine and to an agent comes back the same.\n\nThe scope is the work. Private life is out of scope by design rather than by omission: the\nschemas have nowhere to put it, which is a stronger guarantee than a 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CompanyGraph and GuestGraph agent-first under written conventions that encode the failure modes — an unresolvable reference is an error rather than a warning, so an agent cannot invent an entity; every validation pass must name what it did not check, so a clean report is never mistaken for a complete one. Earlier built LIKE MAGIC's internal AI marketplace on Claude (Claude Cowork), grounded in the Mental Model."}},{"from":"profiles/robert-blust","to":"skills/agile-delivery","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Served as Scrum Master and technical lead on central Wealth Management & Swiss Bank initiatives (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/ai-governance","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Defined LIKE MAGIC's AI governance as Head of Technology — a Human Oversight principle, data-privacy guardrails against training external LLMs on internal context, multi-provider tooling and cost governance — and held the company to it across plan, change and run."}},{"from":"profiles/robert-blust","to":"skills/ai-strategy","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Authored and executed LIKE MAGIC's company-wide AI strategy, from the internal rollout of assistants across plan, change and run to shipped customer-facing AI: architected the integration of d3x, ailean and onsai into the platform's staff solution."}},{"from":"profiles/robert-blust","to":"skills/ai-tool-integration-mcp","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Wired Atlassian, Google Drive and Slack MCP servers into the agent that maintained the LIKE MAGIC Mental Model, reading and writing Confluence pages, Jira issues, Google Docs and Sheets so the knowledge base stayed in step with the systems it described, each command scoped to a named allowlist of the tools it could call. No server authored: the platform's own MCP layer was still roadmap at exit, as CompanyGraph's is now."}},{"from":"profiles/robert-blust","to":"skills/api-design","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Established API and data management for UBS Wealth Management & Swiss Bank with generated XML-Schema and WSDL service contracts and led LIKE MAGIC's API-first strategy with a managed public API."}},{"from":"profiles/robert-blust","to":"skills/business-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Drove business architecture and capability modeling on EMF/Ecore at UBS Wealth Management & Swiss Bank for five years (2009–2015) then mapped LIKE MAGIC's 12 business domains as L0 concepts and L1 capabilities."}},{"from":"profiles/robert-blust","to":"skills/business-process-modeling-bpmn-dmn","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Modeled the end-to-end guest journey from booking to check-out in Camunda BPMN at Stay KooooK and LIKE MAGIC."}},{"from":"profiles/robert-blust","to":"skills/change-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Replaced UBS Wealth Management & Business Banking's proprietary engineering process with a market-standard one as owner of its Analysis & Design discipline, coaching project teams into it (2004–2009), then drove LIKE MAGIC's productive rollout of AI assistants across plan, change and run."}},{"from":"profiles/robert-blust","to":"skills/ci-cd","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built the Swisscard integration rewrite's pipeline on Jenkins and set LIKE MAGIC's CI/CD standards on GitHub Actions."}},{"from":"profiles/robert-blust","to":"skills/cloud-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned LIKE MAGIC's production cloud platform on Google Cloud and created the Aroov and Stay KooooK backend architectures on the same stack."}},{"from":"profiles/robert-blust","to":"skills/community-building","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built internal communities of practice at UBS (2004–2009), led the division's Java Chief Developer committee for two years and co-led it for a further five (2009–2015), co-organized the three Eclipse events UBS hosted in Zürich (MDD Day 2010, Finance Day 2012 and 2014), represented UBS in the Eclipse Modeling Platform Working Group and served on the board of the Swiss Eclipse User Group within JUG Switzerland (2011–2014)."}},{"from":"profiles/robert-blust","to":"skills/company-vision-and-strategy","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Co-founded 3AP, which scaled to about 70 people, and co-founded LIKE MAGIC, building the platform behind 90+ customers and 16,000+ units as of 2026."}},{"from":"profiles/robert-blust","to":"skills/consulting","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Created technical concepts, proposals and pitches as 3AP's CTO (2015–2022), delivering award-winning client platforms in insurance, real estate, IoT and hospitality."}},{"from":"profiles/robert-blust","to":"skills/container-orchestration-kubernetes","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Ran the Aroov, Stay KooooK and LIKE MAGIC backends on Google Kubernetes Engine."}},{"from":"profiles/robert-blust","to":"skills/context-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built the LIKE MAGIC Mental Model as the organization's shared context layer and shipped it as a skill into the company's Claude environment, then generalized the approach into CompanyGraph — a published meta-model for describing a company as a graph both people and agents can read (2022–2026)."}},{"from":"profiles/robert-blust","to":"skills/conversational-ai","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Architected the integration of d3x, ailean and onsai into LIKE MAGIC's staff solution — unified multi-channel guest messaging with AI agents answering, plus guest insights and staff handover."}},{"from":"profiles/robert-blust","to":"skills/data-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built LIKE MAGIC's event and data hub, the sink for every business event its services published: ingested into BigQuery for analytics, idempotent on the event id so a redelivery cannot double-count, and served back as a queryable event log. Earlier fed Credit Suisse's Master Data Repository from static source-code analysis and several source systems, and Flawa iQ's LoRaWAN telemetry into the ERP."}},{"from":"profiles/robert-blust","to":"skills/data-governance","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Built Credit Suisse's Master Data Repository so data stewards could be assigned and the golden-source distribution across the core systems mapped."}},{"from":"profiles/robert-blust","to":"skills/data-modeling","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built the canonical data model for UBS Wealth Management & Swiss Bank's enterprise data management (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/data-protection-gdpr","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Ran LIKE MAGIC's GDPR compliance including the guardrail that no internal context trained external LLMs."}},{"from":"profiles/robert-blust","to":"skills/database-design","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Worked with Oracle in UBS's DynaRep repository, MSSQL in the Swisscard rewrite and PostgreSQL with R2DBC/jOOQ across the LIKE MAGIC platform."}},{"from":"profiles/robert-blust","to":"skills/devops","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Established software-delivery processes and sustainable DevOps practices at 3AP and built LIKE MAGIC's production platform to DevOps standards on Google Cloud."}},{"from":"profiles/robert-blust","to":"skills/domain-driven-design","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Cut LIKE MAGIC's platform along its 12 business domains — L0 concepts, L1 capabilities — so service and team boundaries followed the domain rather than the technical layering, and drove UBS Wealth Management & Swiss Bank's business architecture and capability modeling on EMF/Ecore for five years (2009–2015), where a canonical data model was what every interface contract in the division was defined against."}},{"from":"profiles/robert-blust","to":"skills/domain-specific-language-design","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built DynaRep's repository-based modeling tool and its code generators for UBS mainframe service interfaces (2004–2009) and defined data types, interfaces and service contracts platform-independently on EMF and Xtext (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/engineering-leadership","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Led the team building UBS Wealth Management & Swiss Bank's Eclipse-based tooling platform (2009–2015), then set the technology direction in two companies as co-founder — CTO at 3AP, Head of Technology at LIKE MAGIC — and owned the frame the engineering work happened in: the organizational structure and its roles, the reference architecture, the technology stack, the approvals every engagement had to pass, and the platform and AI budget. Carried that through 3AP's scale to about 70 people across two countries, and developed the technical leadership at LIKE MAGIC as it moved from a founding team to a 25-person product organization. Earlier at UBS, owned the Analysis & Design discipline in Wealth Management & Business Banking (2004–2009) and architected the SDLC toolchain that several hundred engineers across Wealth Management & Swiss Bank planned, built and released inside (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/enterprise-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Architected the Integration Architecture Tool Chain for UBS Wealth Management & Swiss Bank around a canonical data model with a central API and interface-portfolio repository (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/event-driven-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Designed Aroov's event-driven backend on Google Cloud Pub/Sub and built the LIKE MAGIC platform on Pub/Sub as its event hub."}},{"from":"profiles/robert-blust","to":"skills/event-streaming","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built the services as producers and consumers on Spring Cloud Stream over a Google Cloud Pub/Sub binder — bindings declared per service, transport swappable underneath — from Stay KooooK in 2020 through LIKE MAGIC, carrying 89M+ platform events a year, and ran Kafka as the streaming backbone of Conperi's processing pipeline."}},{"from":"profiles/robert-blust","to":"skills/finops","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Budget holder for LIKE MAGIC's cloud platform and AI tooling. Forecast and governed spend across dev, test and production, with consumption KPIs defined in the Mental Model and weekly actuals generated from the Google Cloud billing API, routed to owners by role when a threshold was breached. Held platform cost flat as volume grew to 89M+ events annually, through continuous database and code optimization."}},{"from":"profiles/robert-blust","to":"skills/frontend-development-typescript-react","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Owned Stay KooooK's front-to-back architecture including its React frontend and shipped LIKE MAGIC's React/TypeScript/MUI frontend."}},{"from":"profiles/robert-blust","to":"skills/identity-and-access-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Built zero-trust API boundaries into the LIKE MAGIC platform."}},{"from":"profiles/robert-blust","to":"skills/incident-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Owned LIKE MAGIC's production cloud platform on Google Cloud — reliability, incident response and performance — for a multi-tenant SaaS serving 90+ customers and 430+ properties while it processed 89M+ platform events annually, with alerting driven by defined SLOs."}},{"from":"profiles/robert-blust","to":"skills/information-security-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Built LIKE MAGIC's information-security management toward ISO 27001 (in progress), GDPR compliance and zero-trust API boundaries."}},{"from":"profiles/robert-blust","to":"skills/infrastructure-as-code","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Built LIKE MAGIC's production platform as Infrastructure-as-Code on Google Cloud."}},{"from":"profiles/robert-blust","to":"skills/integration-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned AXA Health's complete integration architecture into Adcubum Syrius and integrated 3 PMS (Mews, Apaleo, Oracle OHIP), 15+ smart-lock systems and 3 AI communication vendors (d3x, ailean, onsai) at LIKE MAGIC."}},{"from":"profiles/robert-blust","to":"skills/iot-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Designed Flawa iQ's sensing and LoRaWAN connectivity and the backend ingesting device telemetry into the ERP (2018–2019)."}},{"from":"profiles/robert-blust","to":"skills/it-governance","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Ran delivery governance and technology-stack approvals at 3AP and set the role-based review process for the division's central interface-portfolio repository."}},{"from":"profiles/robert-blust","to":"skills/it-strategy","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned technology strategy and reference architecture as 3AP's CTO (2015–2022) then defined LIKE MAGIC's product and platform strategy across 12 business domains."}},{"from":"profiles/robert-blust","to":"skills/java","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built Java systems from UBS's DynaRep repository (2004–2009) to Spring Boot and WebFlux platforms at Swisscard, AXA, Aroov, Stay KooooK and LIKE MAGIC."}},{"from":"profiles/robert-blust","to":"skills/knowledge-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built the LIKE MAGIC Mental Model as the organization's shared context layer and established communities of practice at UBS (2004–2009)."}},{"from":"profiles/robert-blust","to":"skills/legacy-modernization","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Architected DynaRep, generating COBOL and Java implementations for UBS mainframe service interfaces (2004–2009), and replaced Swisscard's proprietary SOAP data-integration layer (2015)."}},{"from":"profiles/robert-blust","to":"skills/machine-learning","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/familiar","Evidence":"Architected the pipeline, the labeling tool and the serving path for Conperi, 3AP's applied-research proof of concept with ZHAW for reading health-insurance invoices (2018–2020), and followed the modeling work closely enough to build the platform it needed — GPU training nodes, a labeled dataset where none existed, held-out evaluation reported per document rather than per line. The models themselves were ZHAW's."}},{"from":"profiles/robert-blust","to":"skills/mentoring-and-coaching","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Coached UBS project teams in the Analysis & Design methodology and built internal communities of practice (2004–2009), mentored engineers at 3AP as it scaled to about 70 people, and developed the technical leadership at LIKE MAGIC as it grew from 5 to 25."}},{"from":"profiles/robert-blust","to":"skills/microservices-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Authored 3AP's microservice reference architecture — event-driven, 12-factor, the service cut driven by business capability — and built AXA Health, Flawa iQ and Aroov to it (2015–2022). Carried it into LIKE MAGIC as the platform's own: booking, guest, profile, payment, door access, messaging, operation and analytics services, each contract-first, with every integrated vendor reached through its own connector and a fallback path behind the realtime one."}},{"from":"profiles/robert-blust","to":"skills/mlops","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Set up Conperi's training and serving split — a training service, a registry versioning each model with the metadata to reproduce it, and a separate serving service so a model could be replaced without redeploying its consumers — on a GKE platform built from cluster creation up, with GPU nodes provisioned for training and a labeling tool feeding the dataset. It stayed a proof of concept: no model of this was ever operated in production, so nothing here covers drift, rollback or retraining."}},{"from":"profiles/robert-blust","to":"skills/model-driven-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built UBS's DynaRep model-driven repository and code generator (MDSD, 2004–2009), the Eclipse-based Integration Architecture Tool Chain drawing on the cross-industry Eclipse Modeling Platform Working Group (2009–2015), and Credit Suisse's Eclipse-CDO Master Data Repository (2016). Presented the approach publicly at Eclipse Day Florence and Eclipse Finance Day 2012."}},{"from":"profiles/robert-blust","to":"skills/multi-tenant-saas-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built and scaled LIKE MAGIC's multi-tenant hospitality SaaS platform, serving 90+ customers, 430+ properties and 16,000+ units across the DACH region as of 2026."}},{"from":"profiles/robert-blust","to":"skills/observability","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Instrumented LIKE MAGIC's production platform on Google Cloud Monitoring and Cloud Trace, with alerting driven by defined SLOs, across a multi-tenant SaaS processing 89M+ platform events annually. End-to-end traceability and continuous monitoring and alerting were architecture principles the services were built to, not instrumentation added afterward."}},{"from":"profiles/robert-blust","to":"skills/open-source-stewardship","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Published CompanyGraph and GuestGraph as open core under Apache 2.0 — a license saying what is open and what could be paid for, conventions for a contributor, specs keeping the rejected alternatives beside the decisions, a release contract of tags and manifests so nothing depends on a moving target, and a reference instance an adopter can read (2026)."}},{"from":"profiles/robert-blust","to":"skills/organization-design","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Defined the department-wide role model at UBS — each role with its tasks and the competencies it carried, put through a formal consultation before it took effect (2004–2009) — then shaped the technology organization at 3AP as it scaled to about 70 people including a near-shore team in Serbia, and at LIKE MAGIC as it grew to 25."}},{"from":"profiles/robert-blust","to":"skills/platform-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Architected the SDLC toolchain for UBS Wealth Management & Swiss Bank (Jira, Confluence, GitHub Enterprise, Maven, Jenkins, Sonar) and owned the LIKE MAGIC platform, serving 90+ customers as of 2026."}},{"from":"profiles/robert-blust","to":"skills/process-orchestration","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned the Camunda (Zeebe) orchestration of the guest journey from Stay KooooK into LIKE MAGIC (2020–2023), the subject of a published Camunda case study citing a 95% self-check-in rate and 7,000 process instances per month, then led the reassessment at contract renewal and the move off it."}},{"from":"profiles/robert-blust","to":"skills/product-discovery","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/competent","Evidence":"Put CompanyGraph and GuestGraph up for scrutiny in the open, each with a talk, a billing model and a stated outcome including a clean no (2026)."}},{"from":"profiles/robert-blust","to":"skills/product-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Defined and executed LIKE MAGIC's product and platform strategy across 12 business domains as co-founder and Head of Technology — API-first, with a managed public API and an event and data hub — on a platform that reached 90+ customers, 430+ properties and 16,000+ units."}},{"from":"profiles/robert-blust","to":"skills/public-speaking","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Spoke at Eclipse MDD Day 2010 on models as the enterprise's first-class artifacts, at Eclipse Day Florence and Eclipse Finance Day in 2012 on model-driven engineering and interface conformance, at UBS-internal brown-bag sessions on modeling, toolchain and architecture (2009–2015), and at CamundaCon 2022 in Berlin on how SV Group became a SaaS business on Camunda."}},{"from":"profiles/robert-blust","to":"skills/requirements-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned the Analysis & Design discipline in UBS Wealth Management & Business Banking's RUP rollout (2004–2009) — replaced the division's proprietary engineering process with a market-standard one, developed its service- and data-modeling methodology in Rational Method Composer, led the project team of ten, and coached the division's teams into it. Writes a reviewed specification before every plan and build on CompanyGraph and GuestGraph."}},{"from":"profiles/robert-blust","to":"skills/site-reliability-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Owned site reliability engineering, incident management and performance for LIKE MAGIC's production cloud platform across three environments, with automated weekly reporting against defined thresholds."}},{"from":"profiles/robert-blust","to":"skills/software-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned Stay KooooK's complete front-to-back architecture on reactive Spring Boot WebFlux and took software-architect responsibility for UBS's DynaRep platform (2004–2009)."}},{"from":"profiles/robert-blust","to":"skills/software-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Built production systems across 25 years, from UBS's DynaRep repository (2004–2009) to LIKE MAGIC's Spring Boot WebFlux platform (2022–2026)."}},{"from":"profiles/robert-blust","to":"skills/software-modeling-uml-sysml-c4","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned the Analysis & Design discipline in the Rational Unified Process rollout at UBS Wealth Management & Business Banking, developed its service-modeling methodology in Rational Method Composer and UML, and coached the division's project teams into it (2004–2009)."}},{"from":"profiles/robert-blust","to":"skills/software-process-engineering","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Owned the Analysis & Design discipline in the Rational Unified Process and Enterprise Unified Process rollout at UBS Wealth Management & Business Banking, replacing the proprietary process with a market standard (2004–2009), then architected the division's SDLC toolchain (2009–2015)."}},{"from":"profiles/robert-blust","to":"skills/software-testing","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Ran unit and integration tests as engineering practice rather than a phase after the build — new behavior covered at the level that catches its regression the next time the code is touched, rather than coverage as a number. Built the Swisscard rewrite that way on Jenkins and JUnit (2015–2016), then made it part of 3AP's delivery process across client engagements and of LIKE MAGIC's pipelines on GitHub Actions."}},{"from":"profiles/robert-blust","to":"skills/solution-architecture","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Led 3AP's client bids on solution architecture including public tenders under Swiss procurement law and designed Flawa iQ's RFID and LoRaWAN solution, delivered as 10 working prototypes."}},{"from":"profiles/robert-blust","to":"skills/solution-selling","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Created technical concepts, proposals and pitches and led client bids including public tenders at 3AP, and presented the solution architecture in Aroov's winning pitch."}},{"from":"profiles/robert-blust","to":"skills/spec-driven-development","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Built GuestGraph's identity-resolution engine and CompanyGraph — meta-model, tooling design and this reference instance — from written specifications, each reviewed before its plan and build, under conventions an agent pass enforces (2026)."}},{"from":"profiles/robert-blust","to":"skills/stakeholder-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Advised clients including Credit Suisse, Swisscard, AXA and Mobiliar as 3AP's CTO and presented the solution architecture in the winning Aroov and Stay KooooK pitches."}},{"from":"profiles/robert-blust","to":"skills/technical-writing","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/expert","Evidence":"Wrote the Analysis & Design methodology and guidance a UBS division worked to (2004–2009), built the LIKE MAGIC Mental Model as the organization's written context layer, and wrote CompanyGraph's conventions, design specs and worked example — prose other people follow, for readers who were not in the room."}},{"from":"profiles/robert-blust","to":"skills/vendor-management","via":"Skills.Skill","attrs":{"Level":"proficiency-levels/proficient","Evidence":"Ran LIKE MAGIC's AI and automation tooling as a managed portfolio — Claude Code per-seat team licenses, multi-provider tooling across Claude, Gemini and Copilot, and the build-versus-buy decision to self-host n8n on the platform's own Kubernetes rather than take the hosted service. Led the same call on Camunda at contract renewal, where the platform used a fraction of the engine and the choice was to build on it or leave it."}},{"from":"profiles/robert-blust","to":"sources/local","via":"source","attrs":{}},{"from":"skills/agentic-ai-development","to":"sources/local","via":"source","attrs":{}},{"from":"skills/agile-delivery","to":"sources/local","via":"source","attrs":{}},{"from":"skills/ai-governance","to":"sources/local","via":"source","attrs":{}},{"from":"skills/ai-strategy","to":"sources/local","via":"source","attrs":{}},{"from":"skills/ai-tool-integration-mcp","to":"sources/local","via":"source","attrs":{}},{"from":"skills/api-design","to":"sources/local","via":"source","attrs":{}},{"from":"skills/business-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/business-process-modeling-bpmn-dmn","to":"sources/local","via":"source","attrs":{}},{"from":"skills/change-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/ci-cd","to":"sources/local","via":"source","attrs":{}},{"from":"skills/cloud-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/community-building","to":"sources/local","via":"source","attrs":{}},{"from":"skills/company-vision-and-strategy","to":"sources/local","via":"source","attrs":{}},{"from":"skills/consulting","to":"sources/local","via":"source","attrs":{}},{"from":"skills/container-orchestration-kubernetes","to":"sources/local","via":"source","attrs":{}},{"from":"skills/context-engineering","to":"sources/local","via":"source","attrs":{}},{"from":"skills/conversational-ai","to":"sources/local","via":"source","attrs":{}},{"from":"skills/data-engineering","to":"sources/local","via":"source","attrs":{}},{"from":"skills/data-governance","to":"sources/local","via":"source","attrs":{}},{"from":"skills/data-modeling","to":"sources/local","via":"source","attrs":{}},{"from":"skills/data-protection-gdpr","to":"sources/local","via":"source","attrs":{}},{"from":"skills/database-design","to":"sources/local","via":"source","attrs":{}},{"from":"skills/devops","to":"sources/local","via":"source","attrs":{}},{"from":"skills/domain-driven-design","to":"sources/local","via":"source","attrs":{}},{"from":"skills/domain-specific-language-design","to":"sources/local","via":"source","attrs":{}},{"from":"skills/engineering-leadership","to":"sources/local","via":"source","attrs":{}},{"from":"skills/enterprise-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/event-driven-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/event-streaming","to":"sources/local","via":"source","attrs":{}},{"from":"skills/finops","to":"sources/local","via":"source","attrs":{}},{"from":"skills/frontend-development-typescript-react","to":"sources/local","via":"source","attrs":{}},{"from":"skills/identity-and-access-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/incident-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/information-security-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/infrastructure-as-code","to":"sources/local","via":"source","attrs":{}},{"from":"skills/integration-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/iot-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/it-governance","to":"sources/local","via":"source","attrs":{}},{"from":"skills/it-strategy","to":"sources/local","via":"source","attrs":{}},{"from":"skills/java","to":"sources/local","via":"source","attrs":{}},{"from":"skills/knowledge-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/legacy-modernization","to":"sources/local","via":"source","attrs":{}},{"from":"skills/machine-learning","to":"sources/local","via":"source","attrs":{}},{"from":"skills/mentoring-and-coaching","to":"sources/local","via":"source","attrs":{}},{"from":"skills/microservices-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/mlops","to":"sources/local","via":"source","attrs":{}},{"from":"skills/model-driven-engineering","to":"sources/local","via":"source","attrs":{}},{"from":"skills/multi-tenant-saas-architecture","to":"sources/local","via":"source","attrs":{}},{"from":"skills/observability","to":"sources/local","via":"source","attrs":{}},{"from":"skills/open-source-stewardship","to":"sources/local","via":"source","attrs":{}},{"from":"skills/organization-design","to":"sources/local","via":"source","attrs":{}},{"from":"skills/platform-engineering","to":"sources/local","via":"source","attrs":{}},{"from":"skills/process-orchestration","to":"sources/local","via":"source","attrs":{}},{"from":"skills/product-discovery","to":"sources/local","via":"source","attrs":{}},{"from":"skills/product-management","to":"sources/local","via":"source","attrs":{}},{"from":"skills/public-speaking","to":"sources/local","via":"source","attrs":{}},{"from":"skills/requirements-engineering","to":"sources/local","via":"source","attrs":{}},{"from":"skills/site-reliability-engineering","to":"sources/local","via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diff --git a/model/og.sha b/model/og.sha
index 22fc97b..838a6ce 100644
--- a/model/og.sha
+++ b/model/og.sha
@@ -1 +1 @@
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diff --git a/principles/index.html b/principles/index.html
index 48ad1d2..f921474 100644
--- a/principles/index.html
+++ b/principles/index.html
@@ -615,7 +615,7 @@ <h3>Production is the finish line</h3>
       </article>
     </section>
 
-    <p class="derived" data-de="Erzeugt aus <a href='https://github.com/robertblust/mental-model'>robertblust/mental-model</a>@14fe422 — <code class='mono'>model/vision.md</code> und <code class='mono'>model/values/</code>. Dieses Repository ist eine Instanz von <a href='https://companygraph.io/'>CompanyGraph</a>, einem Meta-Modell, das ein Unternehmen als Graph aus Markdown beschreibt.">Generated from <a href="https://github.com/robertblust/mental-model">robertblust/mental-model</a>@14fe422 — <code class="mono">model/vision.md</code> and <code class="mono">model/values/</code>. That repository is an instance of <a href="https://companygraph.io/">CompanyGraph</a>, a meta-model for describing a company as a graph of Markdown.</p>
+    <p class="derived" data-de="Erzeugt aus <a href='https://github.com/robertblust/mental-model'>robertblust/mental-model</a>@1aabcd0 — <code class='mono'>model/vision.md</code> und <code class='mono'>model/values/</code>. Dieses Repository ist eine Instanz von <a href='https://companygraph.io/'>CompanyGraph</a>, einem Meta-Modell, das ein Unternehmen als Graph aus Markdown beschreibt.">Generated from <a href="https://github.com/robertblust/mental-model">robertblust/mental-model</a>@1aabcd0 — <code class="mono">model/vision.md</code> and <code class="mono">model/values/</code>. That repository is an instance of <a href="https://companygraph.io/">CompanyGraph</a>, a meta-model for describing a company as a graph of Markdown.</p>
     <!-- principles:end -->
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diff --git a/principles/og.sha b/principles/og.sha
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--- a/principles/og.sha
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diff --git a/source.json b/source.json
index 2a7edec..741ac10 100644
--- a/source.json
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@@ -1 +1 @@
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