Engineering rigor, production ownership

After graduating from Queen’s University with a BASc in Engineering Physics, I led product and full-stack development of a multi-tenant healthcare compliance SaaS — turning regulatory and SME-driven requirements into data models, REST APIs, RBAC updates, and production releases for a small engineering team. I also contributed to an OpenAI RAG assistant over tenant-scoped knowledge libraries for organization-specific policy and compliance Q&A.

Earlier, during an internship at SunGrid, I built operational systems in renewables — deal-management workflows, analytics, and technical-commercial tooling for battery storage. At Queen’s, I led software for autonomous-vehicle behaviour planning and a Python-controlled Ku-band radio telescope.

The through-line is building reliable tools from ambiguous requirements while staying close to the technical domain — healthcare compliance, energy, autonomy, or instrumentation.

I’m most interested in roles where software intersects with engineering, science, applied AI/ML, or other technical domains. I'm motivated by learning unfamiliar technologies, understanding complex systems, and building software that solves real problems.

My strongest differentiator is combining rigorous applied science training with production software experience and striving to understand the domain well enough to build tools that are not just usable, but technically grounded.