Information Technology undergraduate at JECRC, Jaipur. I build full-stack web applications and work on applied machine learning — mostly React and Node.js on the front, Python on the model side.
| Project | What it does | Stack |
|---|---|---|
| CXL Enablement with QEMU | QEMU-based testbed that emulates Compute Express Link devices, so experimental Linux kernel drivers can be validated without physical CXL hardware — team project during my HPE internship | Linux, QEMU, Shell, C |
| Numerate OS | Analytics platform that computes every metric deterministically before AI is allowed to explain it — live | TypeScript, Next.js, Python |
| AI Rockfall Prediction System | Risk-prediction system for open-pit mine slope monitoring, pairing an ML model with a physics-based stability engine — live | JavaScript, Python, ML |
| House Price Prediction | Property valuation across 20 Indian cities, Gradient Boosting model at R² 0.948 — live | Node.js, Express, scikit-learn |
| DSA in C++ | Data structures and algorithms, implemented topic by topic | C++ |
- Languages — C++, Python, JavaScript, TypeScript, SQL
- Frontend — React, Next.js, Vite, Tailwind CSS, Framer Motion
- Backend — Node.js, Express, REST APIs
- Databases — MySQL, PostgreSQL, MongoDB
- Systems — Linux, Bash, QEMU
- Tools — Git, Docker, Postman, Vercel, Render
- Portfolio — aadharbindal.github.io/Portfolio
- Email — aadharbindal.it27@jecrc.ac.in

