- 🎓 Preparing for IIT JEE Advanced 2026 | Goal: IIT Bombay - CSE
- 💻 Currently building: Real-time Vehicle Speed Detection using YOLOv8 + Deep SORT + OpenCV.
- 🌱 Learning DSA, Backend Dev, AI Ethics, and System Design.
- 🎯 Long-term Goal: Work in HFT Firms, DE Shaw, or Big Tech.
- 🧠 Passionate about Mathematics, Physics, and solving complex problems.
| Python | JavaScript | C++ | SQL | Java | TypeScript | Go | Rust |
| Node.js | Express.js | FastAPI | Flask | NestJS | OpenCV | TensorFlow | PyTorch | Scikit-learn |
| MongoDB | PostgreSQL | Redis |
| Docker | GitHub Actions | Heroku | Git | Postman | Figma | Linux |
AI | Ethics | Explainable AI
🧠 A powerful dashboard combining responsible AI principles with NLP and XAI techniques to build transparent and ethical AI systems.
💡 Key Features:
- Built with Python, Streamlit, and Explainable AI.
- Promotes fair, auditable AI models.
- Showcases AI ethics in action.
Computer Vision | Real-Time Tracking | YOLOv8
🎯 A real-time vehicle speed detection system using YOLOv8 + Deep SORT + OpenCV, built with a clean modular folder structure.
📦 Key Features:
- Object detection using YOLOv8 (Ultralytics).
- Real-time tracking via Deep SORT.
- Speed estimation + CSV logging.
🔍 Tech Stack:
Frontend Project | HTML/CSS/JS
🎥 A fully responsive and stylish clone of the Netflix homepage UI.
🧩 Key Features:
- Built using pure HTML, CSS, and JavaScript.
- Interactive design and mobile-friendly layout.
- Simulates Netflix landing page.
📱 Tech Stack:
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Let’s connect, build, and create amazing things together.
🚀 “Stay curious, keep coding, and never stop learning.”