An LLM inference engine written from scratch in Rust — zero runtime dependencies, verified token-for-token against llama.cpp — compiled to WebAssembly and paired with a browser lab that walks next-token prediction one step at a time on real weights: watch attention read the sentence, the answer form layer by layer, then fork history and compare both worlds. Runs entirely in your browser, no server.

Spaced-repetition flashcard app for Hiragana and Katakana. ML-powered handwriting recognition grades stroke accuracy, while an adaptive SRS algorithm schedules reviews based on your performance.

Platform for the #1 best-selling Japanese language learning book series on Amazon. Rebuilt from a legacy PHP codebase to a modern MERN stack — React front-end, Express API, and MongoDB-powered dynamic content throughout.

CS5001 final project — a flood-fill puzzle with a live recursive call stack visualizer. Watch the algorithm's stack frames update in real time as you play. Built with Python and Pygame, compiled to WebAssembly via Pygbag.