Machine learning systems I've designed, built, and tested. Open any project for the full write-up and diagrams.
An independent research framework for learning how poker opponents play and testing when exploiting them is worth the risk. I built the simulation, profiling, game-solving, recommendation, and evaluation tools around seeded experiments and independent checks.
A Windows e-reader that uses a local language model to follow a book's mood and play generated ambient music. I built the Python prototype, Flutter reader, reusable Dart/Python/Flutter packages, and an iOS reader prototype.
A lesson-plan review pipeline that fetches Canvas assignments, predicts Texas US History standards with a fine-tuned DistilBERT model, and writes ranked suggestions to Google Sheets. The original automation ran nightly on GitHub Actions from February to October 2025.
In progress
Independent project
