I am an Information Systems student at Cal Poly planning a Computer Science minor. I build consumer experiences, AI products, and data systems where user needs and technical constraints meet. I am especially interested in messy problems involving unreliable connectivity, noisy data, and changing requirements.
I also write as an Opinion Columnist for Mustang News and serve as VP of Tech Development for Cal Poly's Product Management Club. Both roles keep communication, user empathy, and product judgment central to how I work.
What I am exploring now: product engineering, technical product management, consumer experience, and applied AI/data systems opportunities for Summer 2027.
Built a privacy-first internship tracker that ranks opportunities using fit, career signal, recency, urgency, and network strength. JavaScript · Vite · Local-first data · Product analytics |
Built an AI memory layer that turns noisy community chat into digests, action items, onboarding briefs, alerts, and source-backed answers. Node.js · Retrieval · AI product design · Full-stack |
Built a computer-vision pipeline for skier detection, tracking diagnostics, quality metrics, and human-in-the-loop label review. Python · YOLOv8 · OpenCV · Data engineering |
Built a provider-neutral pipeline that turns source text into traceable visual storyboards with continuity checks and reproducible Story Bibles. Python · NLP · Generative AI · Creative tooling |
React Native · Expo · EAS Build · TestFlight · JavaScript · TypeScript · React Navigation · NFC · Supabase · Expo SecureStore · AsyncStorage · NetInfo · Jest · Python · SQL · PostgreSQL · AWS · Git · Product discovery
Some production and client work is private. Every project featured here is standalone and sanitized, using synthetic or public-domain material. None include proprietary code, credentials, or private data.
Want to talk about thoughtful consumer experiences, applied AI, or data systems? Reach me on LinkedIn.