: this blog

I like to analyze what I do. I track my time and make spreadsheets. Why not write about what I learned?

: me


I’m a data scientist by trade, where I train and deploy machine learning models at scale to millions of customers. In particular, I developed and delivered the company’s very first ML powered website recommender system, and created a custom OpenAI Gym environment for a major reinforcement learning project.

I’m a Steering Committee Member (reinforcement learning lead) and blog editor of A.I. Socratic Circles (formerly Toronto Deep Learning Series), where we get together weekly to discuss machine learning research and keep up with state of the art in industry.

I enjoy volunteering to give back to the community - you can find me mentoring or speaking at various workshops around Toronto.

I’m also an indie game developer, having showcased my game in Bit Bazaar and Damage Camp, both gaming conferences held in Toronto. The game has also been mentioned on PC Gamer, Destructoid, and other major gaming news sites.

I’m a 2-time speaker at Visual;Conference where I shared my knowledge on marketing on Steam as an indie dev, as well as my game development pipeline.

In a bit of a cross-over between these two fields, you can find me yearly at the Game Developers Conference in San Francisco (Thanks, DMG!), and am part of the AI Roundtable: Expert session.

I love what I do, and what gets me up every day is that I have much, much more to learn!

Disclaimer: This blog represents my personal experience and opinions only, and does not in any way, shape, or form represent any employers, past or present.

Speaker on reinforcement learning and recommender systems

Events (selected)

Reinforcement learning livestreams
(click links to watch recordings!)
Hackathon judging, mentoring