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Mitesh-V-Chauhan/README.md
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Studying Chemical Engineering at IIT Gandhinagar. Not writing this README to explain that away β€” writing it because the projects below speak for themselves.

I don't build tutorial clones. I build the thing, benchmark it, and ship the number: an async memory service that gives AI agents long-term recall, a C++ route solver that does 31,000+ requests/sec, a Git-inspired VCS built from raw bytes up β€” CLI, storage, dashboard, all of it.

Bias toward shipping over planning. If it doesn't work in a week, I kill it and try the next thing.


πŸš€ Featured Work

🧠 Memory Layer

A long-term memory service for AI agents.

Most agents forget everything between sessions β€” and vector search alone can't explain why it remembers something. Memory Layer fixes both.

  • 14 FastAPI endpoints; Gemini 2.5 Flash extracts structured facts from raw conversation
  • Gemini function-calling resolves ADD / UPDATE / DELETE β€” memory stays consistent, not just accumulated
  • Dual-mode retrieval: Qdrant (vector) + Neo4j (graph) for both similarity and relationships
  • Fully async β€” asyncpg, AsyncQdrantClient, AsyncGraphDatabase β€” nothing blocks the event loop

FastAPI Qdrant Neo4j PostgreSQL Vertex AI

⚑ Velox

A route-optimization engine in C++17.

Dijkstra, A*, and TSP/VRP heuristic solvers β€” exposed to Python via pybind11, served through FastAPI, rendered on real OSRM road geometry.

  • 31,325 req/sec β€” ~0.032 ms/request on a 100-node graph
  • 22 pytest API/integration tests + 19 CTest C++ unit tests
  • Next.js frontend for live route visualization

C++17 pybind11 FastAPI Next.js

πŸ—ƒοΈ stgit

A Git-inspired VCS β€” built from scratch to understand Git at depth.

Custom Python CLI and a full GitHub-style web dashboard, not just a clone of git log.

  • Bearer-token auth (bcrypt) with private-repo access control
  • Commit snapshots stored as blobs on Google Cloud Storage
  • Async MongoDB schema for repos, users, and follower graphs
  • Packaged and published as an installable PyPI package

Next.js FastAPI MongoDB GCP

πŸ€– Blink

Describe an app. Blink writes and runs it.

An autonomous AI coding agent that generates and executes code live, in an isolated sandbox β€” not just a code generator that stops at the output.

  • LangGraph-orchestrated multi-step agent reasoning
  • E2B Sandboxes for isolated, real-time code execution
  • Streaming output from generation straight to a running app

Next.js TypeScript LangGraph E2B FastAPI

More projects

FinPilot AI β€” Enterprise LLM app for financial queries via a reactive state machine: multi-step reasoning, dynamic tool calls, real-time streaming. LangGraph FastAPI React TypeScript

AI Architecture Generator β€” Plain English in β†’ boilerplate code, DB schemas, and architecture diagrams out. Python LangChain React Prisma Supabase


πŸ”¨ Shipping Log

What I'm building right now β€” updated as it happens, not after the fact.

  • [Project name] β€” one-line problem statement. Status: scoping / building / shipped.

This section stays live. If it's empty, I'm between ships β€” ping me, I probably have an idea half-formed already.


πŸ› οΈ Stack

Databases: SQL Β· MongoDB Β· PostgreSQL Β· Neo4j Β· Qdrant Β· Firebase Β· Supabase Also: gRPC Β· Inngest Β· pybind11


πŸ“Š GitHub Stats


πŸ† Highlights

  • πŸ₯ˆ Runner-up, UpGrad CodeEd Hackathon β€” advanced to the national finale in Mumbai; pitched the product to Ronnie Screwvala. Two-person team going up against groups of 4–5.
  • πŸ› οΈ Secretary, Metis App/Web Dev Club, IIT Gandhinagar β€” run React.js workshops, coordinate the club's induction hackathon, and represent the club's project pipeline as a stakeholder for Summer Siege.

πŸ“¬ Let's talk

Open to remote internships and building real things with people who move fast. If you're a founder and something above is relevant to what you're building β€” just email me, I'll respond same day.

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