Summary
Alex Gao is a software engineer at Waymo, combining production-grade software development with a deep research background in autonomous systems. With nine years of experience spanning internships at AWS and Tesla and impactful research at NASA JPL and UC Berkeley, he specializes in artificial intelligence for distributed autonomous systems, including multi-agent deep reinforcement learning and autonomous driving scenarios. He has engineered and evaluated complex control and decision-making systems, from satellite formation flying with DRL to POMDP-based planning for lunar rovers. Based in New York, he brings a strong EECS foundation from UC Berkeley to deliver reliable, scalable software at scale. An active contributor to autonomous systems research, he thrives at the intersection of academia and industry, turning theoretical insights into production-ready solutions. In short, Alex combines hands-on software craftsmanship with a track record of applying AI to real-world, distributed environments.
9 years of coding experience