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.
• 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!