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🧑‍💻 About me

$ whoami
Sanket Chauhan
$ cat interests.txt
agents/  llm-systems/  dev-tools/  open-source/  devrel/
$ uptime
building in public since 2022

I'm an AI/ML engineer passionate about local-first intelligent systems. I design, build, and ship tools that turn raw audio, messy notes, and dense documents into structured, retrievable, decision-ready artifacts — all running on commodity hardware.

Currently I lead the agentic systems track at work, where I design and ship production LLM pipelines, evaluation harnesses, and human-in-the-loop review tools. I also maintain a handful of open-source projects in the AI tooling and developer-experience space.

• 🔭 Working on: local-first LLM tooling, agent orchestration, RAG over long-form audio
• 🌱 Learning: Rust, vector search internals, DSPy / GEPA prompt evolution
• 💬 Ask me about: LangGraph, Postgres + pgvector, Whisper, prompt engineering
• ⚡ Fun fact: my favorite PRs are the ones that delete more lines than they add

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🛠️ Tech I think in

Core

ML / Data

AI / LLM specific

Tooling

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📊 By the numbers

 

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🔭 What I'm hacking on right now

🤖 Agentic Meeting Copilot Local-first LLM agent that turns meeting audio into structured decisions, action items, and a queryable knowledge base. 🐍 Python · ⚡ FastAPI · 🧠 LangGraph · 🎙️ Whisper  ⭐ Star

🧪 Eval Harnesses for RAG Open-source framework for evaluating RAG pipelines end-to-end — retrieval, generation, grounding, hallucination. 🐍 Python · 📊 Pandas · 📈 W&B

💻 DevX CLI A small, fast CLI that wraps our team's go-to commands: scaffold, lint, test, deploy, log a standup. 🦀 Rust · 📦 Cargo

💡 Want to follow along? Star the repos — they get commits most weeks.

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🧬 Languages I think in

_{self-assessed · last updated when I last shipped something in it}

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✍️ Dev philosophy

Boring tech. Sharp tools. Honest systems.

I prefer the obvious solution that works today over the clever one that needs a comment to explain.

Local-first by default. The cloud is a backup, not a source of truth.

If it's not in version control, it doesn't exist.

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📚 Currently reading

• 📘 Designing Data-Intensive Applications — Martin Kleppmann
• 📗 LLM Engineer's Handbook — Paul Iusztin, Maxime Labonne
• 📕 Hands-On Large Language Models — Jay Alammar, Maarten Grootendorst
• 📙 Database Internals — Alex Petrov (in progress)

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🐍 Contribution snake

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📈 Contribution graph

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🌐 Find me

_{✨ Thanks for stopping by — now go ship something.}