I'm a Computer Science undergrad at IIIT Vadodara with a passion for building end-to-end digital products β from pixel-perfect UI/UX to robust backend systems. I enjoy working at the intersection of design and engineering, creating tools that are both functional and beautiful.
|
C/C++ |
JavaScript |
TypeScript |
Python |
HTML |
CSS |
SQL |
|
React.js |
Tailwind |
Three.js |
Figma |
Blender |
|
Node.js |
Express.js |
FastAPI |
OpenCV |
|
MongoDB |
MySQL |
PostgreSQL |
Redis |
Supabase |
Prisma |
Vercel |
AWS |
|
Git |
GitHub |
Docker |
Github Actions |
VS Code |
Postman |
Linux |
Real-time multi-object food detection & nutritional analysis pipeline
-
Comprehensive food detection & portion tracking app
-
Built with YOLO + OpenCV β achieved 88% mAP on custom dataset
-
Reduced inference latency by 35% via image preprocessing optimization
-
Mapped detected food items to calories & macronutrients with <10% variance
-
Robust backend + interactive frontend + dedicated ML component
TypeScript React Machine Learning
Python YOLO OpenCV NumPy FastAPI React Native
Integrated code editor, compiler pipeline, and modular backend template engine
- Automates production-ready boilerplate with auth, RBAC, DB, and payments modules
- Reduces backend setup time by 65% vs manual initialization
- In-browser code editor with compilation + runtime execution support
TypeScript React Node.js Express Docker PostgreSQL
Neural network algorithm (no lib) for autonomous traffic navigation
- Implemented entirely in vanilla JavaScript β no ML library dependencies
- View on GitHub β
JavaScript Neural Networks
