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CodeWithMoin/README.md

Hi, I'm Moin

I build LLM systems and measure whether they actually work. Most recently an Applied Scientist Intern at Amazon (Feb–Jun 2026), where I built LLM pipelines that turned millions of customer feedback records into taxonomies.

  • 🔨 Building Decode: turns research papers into educational video, with each stage checking and revising its own output.
  • 🔍 Attest: a research agent that checks every claim against the paragraph it cites, and measures what that checking costs.
  • 📄 DocuLens AI: grounded Q&A and search over documents, with citations.
  • 🧪 Interested in LLM evaluation, taxonomy quality, and efficient inference.

moinuddin.app · LinkedIn

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  1. doculens-ai doculens-ai Public

    Open-source document intelligence with citation-first RAG, semantic search, and grounded QA.

    TypeScript

  2. copperheadhq/copperhead copperheadhq/copperhead Public

    Hardware as fast as software.

    TypeScript 271 64

  3. smart-turn-hinglish smart-turn-hinglish Public

    Tiny audio turn-detection (whisper-tiny) for Hinglish voice agents — beats smart-turn-v3 on Hindi, ONNX single-file deploy

    Jupyter Notebook 5

  4. attest attest Public

    Agentic research assistant that verifies its own citations — with measured trade-offs

    Python