Here are some of my publicly available projects.
A desktop app that recomputes historical NASCAR Cup Series and Formula 1 championship standings race-by-race, using the actual points rules for any chosen season, with a rules editor for "what if" scoring experiments (PySide6/Qt, matplotlib).
A pipeline that collects, filters, and balances real bug-introducing commits from the BugHunter dataset, then extracts linguistic and TF-RF features from commit messages to train a classifier that predicts whether a commit introduces a bug (Python, spaCy, scikit-learn).
A class project reimplementation of the 2025 ACL paper HiddenDetect, a tuning-free jailbreak detector for vision-language models. Swapping in Fisher's discriminant and logistic regression aggregation over all transformer layers improved AUPRC by 0.023 on average across five benchmarks (PyTorch, LLaVA, scikit-learn).
A 2023-2024 Senior Capstone project built for the OSU Venom Biochemistry & Molecular Biology Laboratory: a full-stack web app to store, visualize, and analyze venom protein data, with foldseek similarity search, PDB comparisons, and TM-align (Svelte, Python, Docker).