About
Currently enrolled in Bachelor of Technology in Artificial Intelligence & Data Science. Apart from coding, I enjoy traveling, meeting new people, and playing badminton.
Work Experience
Skills
Check out my latest work
I've worked on a variety of projects, from simple Mobile & Web applications to Complex ML & DL Pipelines. Few of my favorites:
I like building things
During my time in university, I attended 50+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.
- A
Adobe Gensolve National Finalist (Top - 6)
Noida, India
Built a fully integrated Machine Learning and Computer Vision System to analyze tennis matches, providing real-time player, and ball tracking, as well as event analysis. Implemented OpenCV, TensorFlow, YOLOV5, PyTorch, ResNet-50 - B
BAJAJ HackRX 6.0
Bangaluru, India
Build a RAG document system for 6+ formats (PDF, DOCX, XLSX, PPTX, images, emails) with Browser automation for search, navigation, forms, and data capture; use an LLM to write and edit code, run sandbox checks, and auto-deploy to GitHub (auto-commit and PR) behind CI gating. - T
Top 26 Pragati AI for Impact Hackathon | The /Nudge Institute | Meta
Bengaluru/Gurugram
Built Krishi Sahayak AI a smart platform that gives Indian farmers hyperlocal weather forecasts, instant pest detection, easy credit access, and more, all in one multilingual app. Delivers hyperlocal weather forecasts, instant pest and disease detection, AI-driven credit scoring, and easy FPO management. 
First Runner Up BitByBit, Cognizance
IIT Roorkee
Built a freelance platform designed to make project payments smoother and safer through a milestone-based process. Clients and freelancers can break work into manageable chunks, with payments released as each milestone is completed ensuring trust, transparency, and a hassle-free experience for everyone involved.
Most Innovative Project, InnovateX
MAIT, New Delhi
Developed a mobile application which lets teachers mark attendance with just a classroom photo. Powered by Python’s face_recognition library, it matches faces in real-time and takes the paperwork out of roll call so Teachers can spend less time counting heads and more time teaching.
Get in Touch
Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.