I’m an engineer focused on socially impactful problems, with a pragmatic approach to building software that balances technical quality with business needs. My technical interests lie in cloud infrastructure, databases, and distributed systems.
At Applied, my team and I built and scaled Cloud Engine, a platform to help companies continuously validate their autonomous vehicles in simulation. I’ve worked on and led several projects. Here are some of my favorites:
- Optimized our results search platform by >99%, enabling users to analyze millions of simulation results in milliseconds instead of minutes. This effort later scaled organization-wide to track and triage costly queries.
- Drove reliability, scale, and decoupling in our CI services, allowing customers to run 20x more simulations per day with zero downtime.
Previously, I’ve worked as a software engineer at Productiv, Amazon, and contributed open-source to Ray (Anyscale).
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, world history, and amateur boxing. View my resumé or shoot me an email at micahtyong@gmail.com.