AI & Data Science undergraduate at NIT Delhi with interests in Machine Learning, Backend Engineering, Full-Stack Development and scalable AI applications. I enjoy building production-oriented software and solving algorithmic problems.
| Domain | Level | Details |
|---|---|---|
| Computer Vision | Advanced | CNNs, PyTorch, image classification |
| Machine Learning | Advanced | Scikit-Learn, XGBoost, feature engineering |
| Backend APIs | Advanced | FastAPI, REST APIs |
| Full Stack | Intermediate | React, Node.js, Express |
🍃 PotatoScan AI
- Custom 6-block Residual CNN
- 99.57% Test Accuracy
- FastAPI backend
- Agricultural advisory chatbot
📊 LogSight AI
- Log anomaly detection
- XGBoost (AUC-ROC 0.93)
- 430+ engineered features
- REST API + dashboard
🧭 AI Tour Planner
- React + Node.js
- AI itinerary generation
- REST APIs
- Responsive UI
| Recognition | Details |
|---|---|
| JEE Advanced | Qualified |
| NDA | SSB Interview Selection |
| LeetCode | 300+ Problems Solved |
Currently:
Learning:
- System Design
- Deep Learning
- Cloud
Building:
- AI Applications
- Full Stack Projects
OpenTo:
- Internships
- Open Source"Build software that solves real problems and keep learning every day."