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sanjeev29/README.md

👋 Hey there, I'm Sanjeev

I'm a backend and distributed systems engineer based in California. I look at software development through the lens of a founding engineer: I like building systems from 0 to 1, optimizing data pipelines until they are blazing fast, and automating infrastructure so teams can just ship code and sleep soundly through their on-call rotations.

When I'm not orchestrating serverless pipelines or tuning database execution paths, I’m usually experimenting with agentic AI tooling and building things around the Model Context Protocol (MCP).


🛠️ What I tinker with

  • Languages: Python, Go, TypeScript, heavy amounts of SQL, and occasional Bash scripts.
  • Infra & Data: AWS (Lambda, ECS, SQS), Docker, Postgres, Redis, and MongoDB.
  • Current Hyperfocus: Building deterministic, tool-backed AI systems that don't confidently hallucinate data.

🛸 Current Side Quests

  • AxiomLoop: An agentic research assistant with a strict verification pass to double-check its own sources.
  • Reading Queue MCP: Teaching Claude how to scrape, enrich, and manage a reading list directly in the chat window.

Feel free to explore my repos or connect with me on LinkedIn!

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  1. AxiomLoop AxiomLoop Public

    Agent that researches a question across arXiv & Google Scholar, records structured evidence, and writes a cited answer with a typed contradiction verifier.

    Python

  2. reading-queue-mcp reading-queue-mcp Public

    Pocket inside Claude — save articles to a SQLite reading queue and browse them in a Prefab dashboard, all over MCP.

    Python

  3. cartographer cartographer Public

    A Gemini agent that answers questions about a local repo using ripgrep, ctags, and line-range file reads.

    Python

  4. rag-search-engine rag-search-engine Public

    Python