About

I studied Mechanical Engineering at Queen's with a biomechanical specialization — the kind of program where you learn to think in systems, constraints, and first principles. That foundation stuck. After graduating in 2019, I pivoted into business analytics through McMaster's MBA program, where I got deep into data modeling, market strategy, and the operational side of building companies.

Since then I've gone all-in on startups. I was employee #1 at PredictNow.ai, an AI/ML startup where I spent four years building the growth function from zero — drove $200K+ ARR, secured pre-seed funding, established a joint venture with a major US bank, and built the dashboards and sales engineering infrastructure that powered every client conversation. I did everything from cold outreach to investor pitch decks to Python/SQL/Power BI analytics.

Now I'm at STAN AI as the first GTM hire, where I've built a 15-page internal platform integrating 8+ APIs, production sales tools (contact finders, email verifiers, domain health trackers, property scrapers), and managed outbound at scale — 130+ users, 4 domains, 9 campaigns. I set the company record for demos booked in a single week and co-led webinars with 300+ combined attendees.

On the side, I co-founded BetBoard — a sports analytics platform with 258 ML models across 5 sports and 70K+ historical games, Bloomberg Terminal-style dashboards, and automated daily data pipelines. I also built OpenClaw, a multi-agent AI orchestration layer that runs through WhatsApp with Claude/GPT fallback chains. I work across the full stack — from the ML model to the growth funnel to the deployed product.

Outside of work, I'm a passionate golfer and avid global traveler. History is a long-running interest — this site walks through the historical eras that fascinate me most, from Viking exploration to Newton's laboratory to the Enlightenment coffeehouses of Edinburgh.