EECS student, independent reinforcement-learning researcher, and founder building practical AI products.
I work at the intersection of AI, product engineering, and education—turning ambitious ideas into shipped, testable experiences. I am currently studying Electrical Engineering & Computer Science at Diablo Valley College, researching reward shaping for accessible AI tutoring, and building Regrade.
Portfolio · LinkedIn · Regrade · Email
Product engineering: TypeScript, React, Next.js, Vite, Tailwind CSS, Electron
Backend & infrastructure: Node.js, Express, Python, Supabase, PostgreSQL, GitHub Actions
AI work: LLM integrations, prompt and context design, model-routing experiments, reinforcement learning
| Project | What I built | Stack / focus |
|---|---|---|
| Regrade | A student-facing product that analyzes graded work against a rubric to surface potentially recoverable credit and support a respectful appeal workflow. | React, TypeScript, Vite, Supabase |
| Unvibe | A desktop-first companion that explains AI-assisted code changes in context and helps developers retain what changed. | Electron, TypeScript, Next.js, Supabase |
| Repo Doctor | An OpenAI Hackathon project exploring healthier, more understandable code repositories. | OpenAI Hackathon 2026 |
| Vigilante | Competitive-intelligence monitoring for pricing, filings, hiring pages, and product updates, with sourced daily briefs. | Next.js, Supabase, mobile clients |
| Meridian AI | LLM cost intelligence: usage tracking, per-key budgets, alerts, and model-routing experiments. | Node.js, Express, Supabase, Python |
| Sortify | A gamified waste-sorting experience using AI classification, location tools, and leaderboards. | React, TypeScript, Gemini |
- Regrade — more transparent, student-centered grade review.
- Unvibe — comprehension tooling for the era of AI-assisted development.
- Accessible AI tutoring research — investigating reward shaping for community-college learners.
- Built and shipped projects across AI, education, developer tools, sustainability, and competitive intelligence.
- Earned three awards at SF Hacks 2026 for Sortify, including Best Hardware and Best Beginner.
- Maintaining a 4.0 GPA while pursuing independent research and product work.
I am open to internships, research collaborations, hackathons, and technically ambitious product work. If you are building something useful with AI, education, or developer tools, I would love to compare notes.
Every project here is presented with its current status; I prefer clear scope, working demos, and honest documentation over inflated claims.