AI Product Leader · Montreal
I’ve been shipping machine-learning products since 2010. Today I work in agentic and enterprise AI — the timeline below is my background.
An agent that underwrites an investment end to end — pulling multiple data sources, reasoning across them, and returning an explainable recommendation with its supporting numbers and risks. First example implementation: residential real estate, where it scores a listing and shows the why.
An AI-guided coaching app that pairs a large library of techniques with adaptive, personalized sessions and an immersive 3D avatar. I was the first engineer hired, then built the team — and learned C# and Unity to code the first avatar animation myself. Owned architecture, biofeedback, security, and privacy.
A digital-health platform (later public, TSXV: CRBK). I led the data and ML work: designed a systematic literature-search process to collect health-risk factors and built a relative-risk model to predict disease risk — the Health Risk Assessment that became the company's core IP — plus an ROI calculator for insurers.
Shipped a consular crisis-management SaaS front-to-back in .NET.
Built a blood-based ML biomarker for early breast-cancer detection. M.Sc., Machine Learning.
Designed the data platform and a health-risk predictive model with the CTO.
Launched a patent-pending, AI-guided coaching app on iOS and Android — wrote the Unity C# myself.
Shipped a phishing-risk ML app at 95% accuracy; sat on the ML Security Operations Council.
Leading technical product for AI & pricing in travel SaaS.