💡 I built an autonomous AI agent that answers questions about me in real-time. Try it:
Powered by LangGraph · 6-Layer LLM Cascade · 17 MCP Tools · RAG over my portfolio · Persistent memory
How we got here, in four commits.
┌─ v1.0 ─── CS undergrad. First Hello World.
├─ v2.0 ─── Full-stack shipped: React, Next.js, Node.js, Express
├─ v3.0 ─── Freelanced. Architected a platform serving 2000+ users.
└─ v4.0 ─── Applied AI: LangGraph agents, RAG pipelines, MCP tooling — in production.
Not "can an LLM answer this?" — but "can I build the system that ships one into production safely, cheaply, and reliably?"
Languages & Core Frameworks
AI & Agent Systems
Data & Infrastructure
Also comfortable with — classical ML/DL foundations
Deep Learning Certified (IIT Ropar / NPTEL). Solid grounding in CNNs, NLP, and Computer Vision — but these days I'd rather architect the system a model lives inside than tune the model itself.
| 🎧 Music Lo-fi, ambient, and deep focus playlists — code flows better with the right soundtrack. |
♟️ Chess Tactical thinker on and off the board. Strategy games are just distributed systems in disguise. |
📚 Reading System Design, DDIA, and anything on fault-tolerant distributed architectures. |
| 🧩 Problem Solving 550+ LeetCode problems solved. I find algorithmic puzzles genuinely fun. |
🌍 Open Source Believe in building in public. Every project here is MIT licensed. |
🔭 Currently Building production-grade AI agents with LangGraph, MCP tools, and multi-transport delivery. |
🎓 B.Tech, Computer Science & Engineering (2023 – 2027, CGPA 8.11) · Deep Learning Certified (IIT Ropar / NPTEL)
Portfolio • Agent Console • Resume • LinkedIn • GitHub • Email
Or just launch the Agent Console above — sign in and ask anything about my background, projects, or skills in real-time.