Summary
Albert Tsao is a software engineer with eight years of experience who combines production-grade systems work at Workday with academic research in reinforcement learning and imitation learning from Cornell. He specializes in performance optimization and developer tooling, having prototyped high-performance metadata stores that significantly reduced storage and improved I/O during a Workday internship. His master's thesis extended adversarial motion priors to OpenAI Gym, enabling easier experimentation with physics-based character control and novel imitation algorithms. A seasoned teaching assistant, he has led large undergraduate courses in RL, graphics, vision, and CS fundamentals, often driving assignment and exam design and top forum support. His background spans applied ML, systems engineering, and visualization work for NASA, reflecting a knack for translating research ideas into practical prototypes. Based in Ithaca, he blends rigorous academic methods with measurable engineering impact and welcomes opportunities by email.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Cornell University
North Olmsted High School