Integrated M.Tech CS (Data Science) @ VIT Vellore · Software Engineering & Machine Learning Enthusiast
I'm a 3rd-year Integrated M.Tech student at VIT Vellore (CGPA: 9.23 / 10), building at the intersection of machine learning, data science, and full-stack development. I enjoy turning complex analytical problems into clean, deployable tools.
- 🎓 Integrated M.Tech in Computer Science & Engineering (Data Science) — VIT Vellore
2023 – 2028 - 🔭 Latest project: Mini Stock Advisor — ensemble ML + LLM stock intelligence dashboard
- 🌱 Currently exploring LLM agents, LangGraph, and agentic AI workflows
- 🧠 Interests: Applied ML, Computer Vision, Full-Stack Dev, Quantitative Finance
- 💬 Ask me about Python, MERN Stack, YOLOv8, or Streamlit apps
- 📍 Based in Vellore, India
Languages
ML / Data / Vision
LLM / AI
Web & Backend
Databases
BI & Visualization
DevOps & Tools
| Project | Description | Stack | Period |
|---|---|---|---|
| 📈 Mini Stock Advisor | Stock intelligence dashboard — ensemble ML forecasting, risk analytics & LLM-generated commentary for NIFTY 50 / S&P 500 | Python, Streamlit, XGBoost, Prophet, LangGraph, Groq | 2025 |
| 🌍 Nestify | Full-stack travel platform with listings, reviews, auth, Cloudinary image storage & Mapbox geolocation, deployed on Render | MongoDB, Express.js, Node.js, React, Mapbox | May – Jul 2025 |
| 🏅 Olympics Data Analysis | Analyzed 120+ years / 270K+ records of Olympic data; Random Forest medal predictor (89.7% accuracy) with CI/CD pipeline | Python, Pandas, Scikit-learn, Streamlit, Docker, GitHub Actions | Jan – Feb 2026 |
| 🗑️ Garbage Detection System | Real-time garbage detection (86.4% mAP50, ~150ms/image) using YOLOv8 trained on 3,669 images | Python, YOLOv8, OpenCV, Streamlit | Oct – Dec 2025 |
- 🧩 Solved 100+ problems on LeetCode — DSA, arrays, trees, graphs
- 📊 Completed Power BI Essentials Workshop — hands-on dashboards & data visualization
- 🎯 Student Coordinator — Riviera, VIT (30,000+ participants from 650+ colleges)
- 🤝 Student Volunteer — graVITas, VIT (40,000+ participants technical fest)

