AI Projects
My personal AI lab — experiments I tinker with on my own time, separate from my professional work. Some are in progress, others are ideas I'm eager to start. Expect rough edges and works in progress.
AI & ML Coursework
Structured, hands-on study of modern AI — machine learning, prompt engineering, generative AI, AI engineering, LLMs, and RAG. Certified through IBM (Generative AI & LLMs) and Vanderbilt (AI Agents & Agentic AI, Prompt Engineering, and Claude Code for software engineering), with more coursework ongoing.
Craps Lab — Strategy Simulator
Run betting systems across millions of dice rolls to see how they really perform. Configure a bankroll, table rules, and strategy, then compare systems on shared roll sequences with analytics for profit, drawdown, risk of ruin, and bet-level attribution — all from a deterministic, seeded engine so every run is reproducible.
Road to the Show
A visual tracker for MLB draft classes that follows every pick from draft day, through the minors, to the majors along a scenic 'road.' Explore a team's class, filter by level or round, and open any player for stats, milestones, and development history — the whole journey at a glance.
Aurebesh Scanner & Translator
Point your camera at Star Wars' Aurebesh script and translate it to English. A trained glyph classifier recognizes each character and reports its confidence, backed by a synthetic data pipeline that renders thousands of augmented glyphs — rotation, blur, lighting, perspective — so it holds up on real-world signage.
This Portfolio Site
My first real AI experiment — this very site. Designed and built hand-in-hand with an AI coding agent, it has gone through many iterations across layout, theming, animation, and content, and it keeps evolving. Every section is a testbed for pairing with AI on real front-end work.