Senior Product Manager building the enterprise AI platforms people run on. Now I want to build them where AI is done right.
A product manager who grew up in the AI industry as it grew up — and a Canadian who still says sorry when you bump into him.
I was born and raised in Canada, so like most Canadians, I'm apologetically nice, friendly, and generally pretty chill.
But I was also raised in a lower-class immigrant family, and that taught me something the laid-back exterior doesn't show: how to work hard, and with real intensity. My parents sacrificed everything so that I'd have opportunities they never did. I don't take that lightly — it's the reason I show up the way I do.
I studied Computer Engineering at McGill University from 2014 to 2019, and that's where I first started to dabble in AI. This was back when getting a YOLO model to tell a cat from a dog was considered groundbreaking.
I learned the fundamentals from the ground up — the math, the models, the mistakes — and I've had a front-row seat to the field ever since, from linear regression to basic neural networks, all the way to modern LLMs.
I moved to Seattle in 2019, straight out of McGill, for a job at Microsoft. The plan was simple: stay two years, then head back home to Canada.
It's 2026 and I'm still here. I stayed because the opportunities never stopped coming — especially in this tech scene, where the next interesting problem is always one conversation away. I now have a green card, a house, a dog, and a career I couldn't have built anywhere else. Turns out I've been quietly living the American dream, and I'm glad the plan changed.
Outside of work I'm in permanent curiosity mode — playing with the latest tech frameworks, falling down history, economics, and geography rabbit holes, or listening to business podcasts at slightly unreasonable speeds.
I protect one to two hours of exercise every day: cardio, weightlifting, or a pickup sport. And to make sure I actually have a social life, you'll usually find me at a Seattle craft brewery, hazy IPA in hand, hanging out with friends.
Seven years shipping the enterprise AI/ML platforms that large organizations actually run on — with a throughline of security, access control, and safe adoption at scale.
Own the fine-tuning experience across Microsoft Foundry — the platform enterprises use to customize frontier and open models.
Enterprise MLOps platform for regulated, security-conscious data-science teams.
Platform admin, identity, and networking for Azure ML (PM 1 → PM 2).
First taste of AI infrastructure product management.
The honest version.
We are living through a once-in-a-generation shift, and ten years from now, I want to look back and say I helped shape the AI revolution—and did it in a way that left the world better off. Plenty of companies slap a "responsible AI" label on their landing page, but Anthropic actually lives it. You've built an authentic culture dedicated to steering AI safely, all while backing it up with a formidable product moat. If any team is going to pull off safe, beneficial AI at scale, it's Anthropic, and I want in.
Experience-wise, I've been in the AI/ML trenches since 2016, back when getting a YOLO model to reliably distinguish a dog from a cat felt like black magic. Since those early days, I co-founded the AI Club at my alma mater, McGill University, spent time in the startup world at Domino Data Lab, and helped build the Azure ML platform from the ground up at Microsoft. Most recently, I've been leading product efforts for Microsoft Foundry, scaling cloud AI infrastructure for global enterprise adoption.
Over the last decade, I've learned what it takes to build AI infrastructure—and, more importantly, what enterprises actually need to deploy models safely, securely, and at scale across multi-cloud environments. The Multi-Cloud Trust & Safety role sits right at the intersection of where the industry is going and where I thrive: solving complex, high-stakes platform challenges so customers can innovate with confidence.
I take the work seriously, but I don't take myself too seriously. I build strong cross-functional partnerships, get things done in fast-moving environments, and like to keep things genuine and fun along the way. I'd love the chance to bring that blend of hands-on platform experience, enterprise context, and enthusiasm to the team at Anthropic.