I'm a Computer Science undergraduate who likes building practical software, AI-powered applications, and data-driven tools. I build with Python and JavaScript/TypeScript, use C++ for problem-solving, and enjoy turning real-world problems into clear, usable systems.
Right now I'm working on a Next.js + Postgres app for saving and organizing what I learn, alongside my portfolio site. I'm open to collaborating on AI-powered tools and hackathon projects, especially agent-based apps that solve real problems.
Outside code, I enjoy value-investing frameworks, decision-making, and Vedantic philosophy.
HackIIITD / ESYA'26 · Team project
A supervised audit tool for documenting friction in online subscription-cancellation journeys.
Next.js · FastAPI · TinyFish
Repository ↗
A privacy-first welfare early-warning prototype with separate experiences for Personnel, Welfare Officers, and Commanders. It uses synthetic personnel data, explainable alerts, audited intervention workflows, and aggregate-only commander views.
Privacy-aware design · Role-based access · Explainable alerts · Human review
Repository ↗
An adaptive AI interviewer that uses a candidate's cohort mission history to identify weaker curriculum topics, conduct multi-turn technical interviews, and generate structured feedback.
Python · FastAPI · Groq · HTML · CSS · JavaScript
Repository ↗ · Live demo ↗
- Machine learning foundations and practical AI application development
- Data analysis and visualization
- Data structures and algorithms in C++
