What I do
When it comes to tech, I've done cloud, devops, people management, AI and machine learning, robotics, and more. Why so many things? Because I am always looking for an interesting problem to solve and a new challenge.
What I bring to those I work with is
- I put massive emphasis on principled, design oriented building. This means optimizing the end-to-end utility of a product instead of aspects like feature parity or theoretical capability.
- I take an "occam's razor" approach to problem solving -- finding the smallest solution to a given problem.
- I insist on having a top-to-bottom understanding of technicals, from the base axioms to the high level emergent patterns of any system I am working with.
Quick Details
- I studied Software Engineering at McGill University from 2019-2023. Among my university colleagues, I am most known from the videos & course content I made for Algorithms & Data Structures.
- Presently, I work at Google on the creative camera team, doing applied research in generative AI & imaging.
- I've worked at Meta, Amazon, Rocscience, the government of BC, and my fair share of startups. See my resume here
- Before I did software, I was in the film industry and photography, which I still pursue part time
- I've dabbled in reinforcement learning among other machine learning experiments and projects
- Currently, I am looking for impactful projects to contribute to. If you've got one, don't hesitate to reach out! I'd love to hear about it
Thanks for reading!
My cat says thanks for reading this wall of text! I am thankful to have worked with and learned from so many amazing people. I hope to continue leaning, building, and having fun. If you want to chat, don't hesitate to reach out :)