🏋🏻♂️ I’m an engineer by training, working on training at Modal.
🚙 Previously, I worked at Applied, where my team and I built ML infrastructure for autonomy models. I led our GPU efficiency efforts, accelerating throughput for our end-to-end model training architecture by 10x.
☁️ Still at Applied, I scaled our agentic simulation platform, Cloud Engine (now Dana). This was the team where I was born and raised. I made our products e.g., improved search latency by over >99%, enabling users to analyze millions of simulation results in milliseconds instead of minutes, served as the team’s technical lead, and improved peak throughput from <10k to >200k sims/day; drove down on-call stability issues from >20 incidents/day to <1 incident/day; rotated to Japan to integrate with bespoke networking stacks; authored dozens of technical roadmaps and documents; made some tough calls.
🐻 I graduated from UC Berkeley with a B.A. in Computer Science and a B.A in Data Science. At Cal, I spent much of my time developing software for non-profits, teaching databases, and conducting data systems research.
🥊 Outside of work, I enjoy home-cooking, reading, and fighting people. View my resumé or shoot me an email at micahtyong@gmail.com.