Eureka!!

Profile | Navin

Paris, Fr

About

Photo of Navin Venkat

Hey! I'm Navin, an AI and full stack engineer.

I build with Python, PyTorch, TypeScript, React, Next.js, FastAPI, and LangChain. Full stack products on one side, models and agents on the other.

These days I spend most of my time building AI agents: systems that can use tools, talk to APIs, control a browser, and actually get work done, not just chat. RAG, MCP, OpenAI, Anthropic, the usual stack.

You'll find my work on GitHub: apps, agents, and end to end systems you can run, not half finished notebooks.

PythonPyTorchTypeScriptJavaScriptReactNext.jsNode.jsFastAPILangChainMCPOpenAIAnthropicRAGChromaDBPostgreSQLDockerAWSGitHub ActionsTailwind CSS

Let's build something together.

vnavinvenkat@gmail.com

Career

Work experiences and roles

Software Developer Intern @AgileSoftLabs

July 2024 – May 2025

Built and maintained scalable REST APIs with Node.js, Express.js and TypeScript, with unit and integration testing (Jest). Migrated the frontend from React.js to Next.js (SSR/SSG), improving performance and SEO. Optimised PostgreSQL and MongoDB schemas to reduce latency on high-traffic endpoints. Set up CI/CD pipelines via GitHub Actions and deployed Docker services on AWS EC2 with production monitoring. Integrated AI tools including Copilot and LLM APIs for code generation, automated review and documentation.

Projects I Developed..

What I’ve Built

Reduck: MCP Agent Integration with Live Browser Control

Connected Claude Code to a third-party MCP server so the agent could control a live browser — a capability it did not have on its own. Built three automation scripts over that connection, each with a typed input and output contract. Traced a production regression where all three previously validated scripts failed together: the platform’s cold environment opened at an inconsistent window size and silently broke a shared downstream dependency. Diagnosed it from run traces, fixed it, and re-validated from a fresh cold start rather than a warm session. Wrote structured platform feedback with reproduction steps, root cause, severity, and a suggested fix.

MCP
Claude Code
Browser Automation
TypeScript
Agent Tooling
Clairo: AI Document Intelligence Platform
Clairo: AI Document Intelligence Platform

Production-grade RAG system that lets users upload any PDF and ask questions in plain English — every answer comes with an exact page citation and zero hallucination. Built with hybrid BM25 + vector retrieval, Cohere cross-encoder reranking, and a Ragas evaluation pipeline CI-gated in GitHub Actions. Faithfulness improved from 0.61 to 0.89 after reranking. Multi-user architecture with NextAuth Google and X OAuth. Phase 2 adds fully local inference via Ollama with zero data egress.

FastAPI
Python
LangChain
ChromaDB
OpenAI API
Cohere
Next.js 14
Tailwind CSS
NextAuth
Railway
Vercel
GitHub Actions
CodeIt: Real-Time Collaborative Code Editor
CodeIt: Real-Time Collaborative Code Editor

Multi-user collaborative coding platform with real-time synchronisation under 100ms via WebSockets (Socket.IO). Features live cursor tracking, secure room management, and syntax highlighting — built for remote pair programming and team coding sessions. Event-driven scalable architecture using React, Node.js, MongoDB and Tailwind CSS.

React.js
Node.js
MongoDB
Socket.IO
Tailwind CSS
Express.js
Vercel
Exa: AI-Powered Search Engine
Exa: AI-Powered Search Engine

LLM-powered search engine with real-time data retrieval and streaming responses via OpenAI and Anthropic APIs. Delivers concise semantic results beyond keyword matching, with advanced cache optimisation achieving a 95% cache hit rate, serverless deployment on AWS Lambda, and optimised PostgreSQL queries reducing latency by 60%.

Next.js
OpenAI API
Anthropic API
PostgreSQL
AWS Lambda
Vercel
TypeScript
PingMe: Uptime Monitoring SaaS
PingMe: Uptime Monitoring SaaS

Subscription-based website monitoring platform with real-time uptime pings, automated downtime email alerts via NodeMailer, performance metrics dashboards, and tiered subscription plans. Built with Node.js, TypeScript, Bull Queue for distributed async job processing, PostgreSQL and Prisma ORM — deployed on AWS EC2 with GitHub Actions CI/CD and 99.9% uptime.

Node.js
TypeScript
Bull Queue
PostgreSQL
Prisma ORM
NodeMailer
AWS EC2
GitHub Actions
Docker
Wanna hear some music..

Education

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EPITA, l'école des ingénieurs en intelligence informatique

Master of Science in Computer Science

2025-27
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