I build ML systems that run in the real world: inference pipelines at scale, edge AI for safety-critical environments, and products used daily by major fleets across North America. Currently at Isaac Instruments.
I'm an ML engineer with a computer engineering and electronics background, based in Montreal. I hold a Master's in Computer Engineering with a specialization in AI from the Université de Sherbrooke, where I graduated with an academic excellence scholarship.
My work sits at the intersection of machine learning and production engineering. I care most about the gap between a model that works in a notebook and a system that runs reliably at scale. That's where I spend my time.
Before Isaac, I co-founded Queva where I built the AI stack from scratch, raised VC funding, and led a small team. I've also done research in autonomous vehicles at the Université de Sherbrooke and computer vision work at Decathlon and CRIM.
Outside of work, I'm building DocTrack.io, writing about ML engineering on Medium, and contributing to low-resource NLP for African languages.
Passionate about learning and always curious about new challenges. I'm happy to collaborate, exchange ideas, or simply have a conversation about ML, engineering, or anything in between.