Computer Science (Honours) graduate from Brock University with a concentration in Software Engineering. I work on machine learning for software engineering, most recently conformal prediction for reliable bug triage, and I like building AI systems end to end: from transformer fine-tuning on multi-GPU H100 clusters down to terminal-native AI agents.
- MACCP: Agreement-Conditioned Conformal Prediction for Bug Triage IEEE QRS 2026 (26th Int'l Conference on Software Quality, Reliability and Security), Springer LNCS 路 code
- Sequence-Based Evolutionary and Neural Strategies for Reducing Zone Crossings in Toolpaths Canadian AI 2026, PMLR vol. 318 路 code 路 I designed and built FusionNet, the paper's hybrid CNN-RNN neural optimizer
- opencode agent fork: extending an open-source, terminal-first AI coding agent into a multi-agent system with orchestrated specialist sub-agents (parallel / pipeline / map-reduce / consensus), persistent project memory, dynamic context pruning, and a split-pane TUI cockpit with live sub-agent monitoring
- Academic FBI: a plagiarism-detection platform for academic code submissions, built in a 6-person team; similarity analysis, a side-by-side diff viewer with confidence-ranked matches, and encrypted student identities 路 live
- CryptoPilot: a live trading platform that provisions, configures, and monitors automated Freqtrade bots; React + TypeScript frontend, Node/Express + MongoDB backend, Dockerized Python bot services
Python 路 PyTorch 路 Hugging Face Transformers 路 XGBoost 路 TypeScript 路 React 路 Node.js 路 Bun 路 Docker 路 SLURM 路 C/C++ 路 Java 路 SQL