- π§ Backend Engineer focused on LLM-powered systems and scalable APIs.
- β Building backend services with Java / Spring Boot and Python / FastAPI.
- ποΈ Working with microservices, clean architecture, and distributed systems.
- βοΈ Using AWS, Terraform, Docker, and CI/CD to build and deliver cloud applications.
- π¬ Exploring event-driven systems, streaming reliability, incident analysis, and machine learning through hands-on projects.
| Project | What you'll find |
|---|---|
| π IncidentInvestigator | A Spring Boot service for incident lifecycles, investigation evidence, and asynchronous root-cause analysis over Kafka. |
| π§© IncidentAnalyzer | A Python / FastAPI analysis service and Kafka worker with OpenTelemetry traces, metrics, and agent execution audit events. |
| β‘ streaming-reliability-lab | A synthetic token-streaming lab exploring gRPC, SSE, bounded concurrency, backpressure, and failure recovery. |
| π RateLimitService | A Spring Boot and Redis rate-limiting microservice using the Token Bucket algorithm. |
| π credit-risk-ml-platform | A credit-risk ML project with synthetic data, validation, scikit-learn pipelines, model comparison, and batch scoring. |
Explore all my repositories β
Languages & Backend
Data & Messaging
Cloud & Delivery
AWS: ECS Β· ECR Β· RDS Β· Lambda Β· S3 Β· SQS
AI, ML & Observability
Architecture: Microservices Β· Clean Architecture Β· Distributed Systems Β· RESTful APIs Β· Event-Driven Systems
Let's connect and talk about backend engineering, AI systems, and cloud architecture.


