CS undergrad · systems thinker · building with intention
Second-year Computer Science undergrad at VIT Chennai, drawn to the intersection of systems, data, and ideas that don't have obvious applications yet. I ideate in solitude and build in motion — coding live, evolving as I go, thinking past the immediate use case.
Right now I'm exploring machine learning, full-stack web development, and quantum computing — not because they're trendy, but because each one changes how I think about problems.
TastyTap — Intelligent food ordering platform with mood-based recommendations, group ordering via room codes, a gamified Food Passport, and Razorpay payments. Built with Node.js, Express, React, MongoDB, and Flutter.
Quantum Bloom — Quantum-inspired ML dashboard predicting flower drying conditions using QSVM, PCA, and a Streamlit frontend — trained on 500+ augmented samples across 12 botanical features.
| Languages | Python, JavaScript, C, C++, Java, Dart |
| Web & Mobile | Node.js, Express.js, React.js, Flutter, HTML, CSS |
| Data & ML | Pandas, Scikit-learn, NumPy, Matplotlib, Streamlit |
| Tools | MongoDB, MySQL, Git, GitHub, VS Code, PennyLane |
- Research intern at CNI, VIT Chennai — working on Neuro AI / Quantum ML, in collaboration with QNeuro and SUNY Binghamton (May – July 2026)
- Targeting publication in an international journal by end of internship
- Consistent DSA practice alongside creative side projects
- Developing a personal workflow that doesn't sacrifice depth for speed
VIT Chennai · B.Tech CSE · CGPA 9.10 · 2024–2028