About
I am a computer science graduate focused on applied AI, research tooling, and software that solves concrete problems. My recent work includes an LLM chess research project, developer workflow experiments, and desktop tooling for professional workflows.
Before computer science, I studied accounting and management. That background still shapes how I build: I care about reliable workflows, clear tradeoffs, and tools that make busy teams faster without turning the product into theater.
UQO
B.Sc. Computer Science
Computer science, applied AI, software systems, and research work on LLM chess evaluation.
Vanier College
DEC in Accounting and Management
Accounting and management background before moving into software engineering.
Student Software Developer
Government of Canada - Competition Bureau
Built a cross-platform .NET 9 file-copy tool with Avalonia UI for an e-discovery workflow, taking the project from implementation details to a usable desktop tool.
Languages: Python, C#, C++, TypeScript
AI: LLM evaluation, reinforcement learning, PyTorch, prompt experiments
Web and tools: Next.js, React, Docker, desktop automation