I came for the gaming, stayed for the compiler.
I spent my teens trying to go pro at SOCOM, Counter-Strike, and later Fortnite. I made it. Then I tried finance, and it wasn't it — I wanted work where the output scaled with the effort. At a family wedding, a cousin said, "you should learn to code."
One bootcamp, a software engineering degree, a move to Toronto, and a few jobs later, I'm focused on AI engineering and machine learning — retrieval systems, Reinforcement Learning, and the unglamorous plumbing that makes models useful in production.
Outside the screen: BJJ (blue belt, forever), snowboarding, surfing, building silly things. This site is one of them.
The long way here.
~31 years · 4 cities · 1 reasonably consistent career
Sports, gaming, and an early obsession with competitive anything.
Competitive gaming livestream with a community of 200+ viewers.
Graduated business school.
Realized finance was not it. Started eyeing a different kind of problem-solving.
Completed the bootcamp — React, Node, Express, PostgreSQL. First time code felt addictive.
Shipped a multi-tenant e-commerce platform and an ops dashboard on Next.js + AWS + PostgreSQL + Mongo. ~250k annual revenue.
Implemented ML-powered vector search at scale.
Full-time student, two part-time jobs. GPA 4.4/4.5. Member of the Engineerging Student Association. Math tutor. Scholarship recipient.
Led engineering on open educational tools for 12k+ students. Type-safe, small team, high-leverage.
Major contributor to "The Real Game" — a career exploration tool used by millions of students.
Built an Inverse model-based Reinforcement Learning model to predict polymer blends from OEM specs, now a tool used by Lab Techs.