Poly Clubs is an independent directory and review platform for Cal Poly's 486+ student organizations. I built it to provide transparent, peer-driven insights that official channels lack—addressing the real questions students have about time commitment, social atmosphere, and career value. The platform features a unique 'Vibe Check' system for anonymous, multi-dimensional club ratings and real-time review aggregation. Built with Next.js, TypeScript, Tailwind CSS, and Supabase, it combines static generation for performance with dynamic review functionality, creating an essential resource for students seeking authentic perspectives on campus involvement.

A full-stack developer analytics platform that evaluates public GitHub profiles using deterministic metrics, heuristic scoring, and secure OAuth-based data access. GitProof generates public, shareable profile reports with impact scores, consistency analysis, archetype classification, and recruiter-facing summaries, backed by PostgreSQL and the GitHub GraphQL API. The system integrates Gemini 2.5 Flash for bounded, AI-assisted insight generation while enforcing strict privacy guarantees, rate limiting, and public/private visibility controls.

Rebuilt the Mt. SAC Computer Science Club website (v2) using Next.js, TypeScript, and Tailwind CSS, replacing the previous Bootstrap-based build. Engineered modular, reusable components and implemented mobile-first design, semantic HTML, and static optimization. Integrated structured data-driven rendering for events, directories, and dynamic routes to enhance scalability and maintainability across the 900+ member platform.

A full-stack workout logging app designed for a minimal and efficient tracking experience. Users can log workouts, edit past sessions with a React-calendar, and track progress with Recharts visualizations. Workouts are stored in a PostgreSQL database, with support for tags, comments, and dropsets. Built with Next.js, Tailwind CSS, and Prisma, it streamlines workout management while enabling progressive overload tracking.

Collaborated in a team of four to build het.ai (Hand Ergonomic Tracker) during HackTech 2025, a real-time wrist diagnostic platform that visualizes hand posture and calculates ergonomic risk using the Leap Motion Controller. I led the frontend development using Next.js and Tailwind CSS, building interactive visualizations and a dynamic dashboard that interfaces with a FastAPI backend and Firebase Firestore. The platform outputs flexion, deviation, and pronation angles, enabling users to receive live feedback and long-term session insights for improving typing ergonomics.