I'm Tharun N V — a full-stack AI engineer and backend developer from Coimbatore, India. I study Computer and Communication Engineering at Amrita Vishwa Vidyapeetham and spend most of my waking hours building systems that don't just demo well — they run in production.
My stack orbits around Python, FastAPI, React, and Next.js, with an increasingly large footprint in AI engineering — LangGraph, vector databases, RAG pipelines, and AWS Bedrock. I've shipped agentic AI systems, EDR desktop security tools, real-time event processors, and more.
I'm currently ranked #76 in SSoC 2026 with 5* PRs merged across two repos, contributing interactive algorithm learning tools and a dynamic agent node system. Open source is not a side hustle — it's how I learn, share, and grow.
Hover each card to see what drives me.
Every engineer has an origin story. Here's mine.
Wrote my first 'Hello World'. Immediately knew I wanted to build things that actually mattered. Started with Python — and never really stopped.
Discovered React and the web's infinite canvas. Built dozens of small apps, broke dozens of things, fixed everything. Fundamentals locked in.
FastAPI, PostgreSQL, REST architecture. My first real API. The satisfaction of a 200 response from a system I designed myself — addictive.
The ChatGPT wave hit. I didn't just use it — I started building with it. RAG systems, semantic search, prompt engineering. AI became my primary lens.
AWS S3, SQS, DynamoDB, EventBridge. Learned the hard way that distributed systems fail in interesting ways. Now I design for failure first.
Joined as an AI/ML lead. Ran workshops, built real IoT+AI integrations. First real taste of leading engineers and shipping under pressure.
Deployed LEXINEL — a 14-node LangGraph AI agent. Cloudcraft AI on AWS Bedrock. Not demos. Real workloads, real users, real stakes.
Started contributing meaningfully to public codebases. Built interactive learning SPAs, dynamic node systems. 4 PRs merged, ranked #91 in SSoC 2026.
Building my AI Persona platform. Seeking roles where I can own critical systems, ship fast, and work with people who care about the craft as much as I do.
LangGraph orchestrators, RAG pipelines, vector databases, LLM integrations. I build AI that processes real data, not toy examples.
High-throughput REST APIs, event-driven architectures, async workers, microservices. Built to scale, built to fail gracefully.
Serverless functions, S3 pipelines, EventBridge rules, Docker deployments. I architect cloud-native systems from scratch.
React + Next.js frontends backed by production APIs. Not just UI — end-to-end systems with auth, state, and data.
RECRUIT ME IN 2 MINUTES
Not sure what to ask? Run a simulated recruiter session with my AI Persona. It will answer questions about my experience, skills, and what I'm building next — typed out in real time.
[!] The real voice-based AI persona is coming soon. For now — the terminal below is a faithful simulation of how I would actually answer.
Not ticket-grinding. I want to own a subsystem, make architectural decisions, and ship something users notice.
Production ML, inference services, vector search, agent frameworks. This is where I thrive.
I do my best work when the bar is high and iteration is rapid. I'm comfortable with ambiguity — it's where interesting engineering lives.
Teams that review PRs thoughtfully, document decisions, and treat open source as a default — not an exception.