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Achievements

Achievement: Pair ExtraordinaireAchievement: StarstruckAchievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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devrahulbanjara/README.md

Rahul Dev Banjara

Machine Learning Engineer working on end-to-end ML systems on AWS, with a focus on production reliability and MLOps.

Interested in core machine learning, agentic AI, and system design. I enjoy building practical ML systems and mentoring students preparing for the AWS Machine Learning Engineer – Associate (MLA-C01) certification.

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  1. Document-Verification-System Document-Verification-System Public

    The system that is designed to assist in verifying the authenticity of Nepali documents (Citizenship, Driving License, Passport) against the government database.

    Jupyter Notebook 18 2

  2. omarchy-ppocr omarchy-ppocr Public

    Much more accurate screen OCR for Omarchy (Super+Ctrl+Print): PP-OCRv6 on CPU, offline. Benchmarked vs Tesseract on 100 images: CER 2.8% -> 0.4%.

    Python 2

  3. Agentic-RAG Agentic-RAG Public

    A research assistant that lets you ask deep technical questions across thousands of arXiv papers and get precise, fully-cited answers — with the right figures and tables surfaced alongside, and a b…

    Jupyter Notebook 1

  4. Rojgar-AI Rojgar-AI Public

    Hiring for every kind of job in Nepal. One apply link per job, no account needed to apply, and AI that reads every CV and shows its proof. AI assists. You decide.

    Python 1

  5. omnichannel-ai-inbox omnichannel-ai-inbox Public

    [IN PROGRESS] One inbox for every customer chat a store has, with an AI agent that answers, recommends products and takes orders inside rules enforced by code.

    Python

  6. RAG-eval RAG-eval Public

    A simple RAG application built to be evaluated, catching hallucinations that sounds confident by scoring the retriever, generator, and pipeline separately with DeepEval.

    Python