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Sane219/README.md

πŸ§‘β€πŸ’» 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 β€” 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.

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

πŸ› οΈ Tech I think in

Core

Languages
Frameworks & infra

ML / Data

ML / data stack

AI / LLM specific

LangGraph LangChain OpenAI Anthropic Ollama HuggingFace pgvector faster-whisper pyannote

Tooling

Tools


πŸ“Š By the numbers

GitHub stats Β  Top languages

Streak stats

Trophies


πŸ”­ What I'm hacking on right now

πŸ€–
Agentic Meeting Copilot
Local-first LLM agent that turns meeting audio into structured decisions, action items, and a queryable knowledge base.

🐍 Python Β· ⚑ FastAPI Β· 🧠 LangGraph Β· πŸŽ™οΈ Whisper

Status: Active Development  ⭐ Star
πŸ§ͺ
Eval Harnesses for RAG
Open-source framework for evaluating RAG pipelines end-to-end β€” retrieval, generation, grounding, hallucination.

🐍 Python Β· πŸ“Š Pandas Β· πŸ“ˆ W&B

Status: Designing
πŸ’»
DevX CLI
A small, fast CLI that wraps our team's go-to commands: scaffold, lint, test, deploy, log a standup.

πŸ¦€ Rust Β· πŸ“¦ Cargo

Status: Side Quest

πŸ’‘ Want to follow along? Star the repos β€” they get commits most weeks.


🧬 Languages I think in

Language proficiency: Python 95%, TypeScript 90%, SQL 80%, Go 60%, Rust 40%

self-assessed Β· last updated when I last shipped something in it

✍️ 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.


πŸ“š Currently reading

  • πŸ“˜ Designing Data-Intensive Applications β€” Martin Kleppmann
  • πŸ“— LLM Engineer's Handbook β€” Paul Iusztin, Maxime Labonne
  • πŸ“• Hands-On Large Language Models β€” Jay Alammar, Maarten Grootendorst
  • πŸ“™ Database Internals β€” Alex Petrov (in progress)

🐍 Contribution snake

github contribution grid snake animation


πŸ“ˆ Contribution graph

Contribution graph


🌐 Find me

GitHub LinkedIn Email Portfolio


Footer

✨ Thanks for stopping by β€” now go ship something.

Pinned Loading

  1. TAXBOT TAXBOT Public

    TaxBot 2025 is a comprehensive, AI-powered Indian Income Tax Assistant that simplifies tax calculation and provides intelligent tax planning insights. Built with Streamlit, it offers an intuitive i…

    Python

  2. kylpup kylpup Public

    AI-powered investment research dashboard. Natural-language queries β†’ agentic AI β†’ structured, source-attributed analysis. Multi-tenant with RBAC.

    JavaScript

  3. lexis-local lexis-local Public

    Privacy-first, 100% offline PDF intelligence desktop app β€” Tauri 2 + React + embedded SurrealDB vector search + local llama.cpp RAG. No cloud, no API keys, no telemetry.

    TypeScript

  4. meeting-copilot meeting-copilot Public

    Local-first Agentic Meeting Copilot. Chrome MV3 tab audio capture, FastAPI/LangGraph backend, faster-whisper + pyannote + phi-4-mini via Ollama, Next.js 15 live dashboard. No paid APIs, no cloud.

    Python

  5. OmniVault OmniVault Public

    A secure, multi-tenant multimodal AI SaaS platform built with Robyn and EdgeDB.

    TypeScript

  6. RAD-Knowledge-Assistant RAD-Knowledge-Assistant Public

    A Python-based Retrieval-Augmented Generation (RAG) system that answers user queries using private document collections while minimizing hallucinations.

    Python