About
I build AI systems that actually do things, not just sit in polished demos pretending to matter. Most of my work revolves around LLMs, automation, and full-stack systems where messy ideas get turned into usable products. I’ve built tools like Deep Search and developer utilities that focus on saving time instead of creating more noise. I learn by building, breaking, and fixing systems under real constraints. That’s where most people stall. I don’t.
I care about systems that scale, don’t collapse under pressure, and don’t frustrate users. Clean architecture, practical performance, and actual usability matter more to me than hype or buzzwords. If something is repetitive, I automate it. If it’s complex, I simplify it. If it’s inefficient, I redesign it.
Sleep is for the weak. Or at least that’s what I tell myself while I’m still debugging at 3 AM.
Projects
Building Under Pressure
Competed in 3+ hackathons during university, turning ideas into working prototypes in 24–48 hours alongside talented teams.
- C
CVMU Hackathon 3.0
Anand,Gujrat
Developed a social media analysis platform with real-time data integration, supporting platforms like YouTube, Instagram, and Facebook. - N
Nosu AI Hackathon
Online Hackthone
A comprehensive web application integrating multiple AI features: Chat Assistant, PDF Document Analysis, and YouTube Video Summaries, built with Next.js, React, and FastAPI. - L
Level SuperMind Pre-Hackathon
Online Hackthone
A web application for analyzing social media content using AI, providing insights, engagement analysis, and suggestions for improvement with a clean chat interface.