About
I’m a software engineer that specializes in data, machine learning and AI infrastructure. I focus on applied AI: building systems with off the shelf AI tech to impacts users. I find Deep Reinforcement Learning to be particularly interesting for solving real world business problems and I devote a lot of my energy to that. I live in my hometown of Toronto, but I spent two years in Seattle while I worked for Amazon.
School
- Computer Engineering from the University of Toronto
- Master’s in Statistics from the University of Toronto
Work
- 2020-Now: I’m a staff ML Engineer at Pinterest. My team applies AI to Pinterest’s shopping products.
- 2014-2020: I’ve worked at Zynga in Analytics Engineering since 2014. I currently lead the ML Engineering team. We AI applications for game personalization and central, scalable ML Infrastructure.
- Launched Zynga’s open source Deep RL library RL Bakery
- 2012-2014: I worked for Amazon in Seattle on the Customer Marketing Analytics team. It was a lot of fun working with the largest online retail data set in the world for customer targeting and predicting the value of customer actions.
- 2007-2011 Worked for Vennsa, a start up spun off from a University of Toronto algorithms research group. We did cool stuff with NP-Complete SAT solvers that automatically debugged failing digital hardware designs. Unfortunately, NPC solving algorithms researchers aren’t the best at business…
Favourites
- Hockey Team: Maple Leafs
- Beer: Rogue Hazlenut Brown
- Coffee Beans: Quietly Coffee’s Allie & Lennie
- Latte: Caffe Vivace in Seattle
