The family moved to Ottawa the following year, and I transferred into a more rigorous school. I doubled down on math — calculus, advanced functions, physics — and took my first formal computer-science course. The language was Python, and that was all I knew at that point. I was hooked anyway.

For the final term project I built something end-to-end, shipped it, and realized two things: I liked the feedback loop of software, and I wanted to do this for much more than a grade.

I went off to Carleton for Computer Science, AI/ML stream, with a minor in Maths & Stats. Freshman year turned into a chain reaction: Dean's List, Golden Key, a growing github, and the rush of finally having peers who also got excited about obscure algorithms.

The internships followed — Ford, Caterpillar, Elections Canada, TD — each one teaching me a different shape of real-world engineering: automation, DevOps, embedded systems, and production ML on real customer data.

I live in Montréal, code in a few languages, think in French, English, and just-enough-Spanish, and spend the off-hours at a piano, on a bike, or on a tennis court I'm slowly losing to. On-keyboard I'm deep in LLM fine-tuning, RAG, and agentic systems — and always open to a good conversation.