Yat Lo is an applied scientist with 10 years of hands-on experience building RL and deep learning systems across industry and academia, currently contributing to Amazon AGI after roles at Dyson, Shell, and Zebra Technologies. He co-founded Rooka, an AI-powered multilingual legal drafting assistant supporting over 28 languages, demonstrating a strong blend of product-minded engineering and entrepreneurship. His research background includes work with leading labs (Oxford, Amii/RLAI under Rich Sutton) on step-size methods and catastrophic interference in online RL, and practical DRL applications for energy trading and robotics. Yat bridges prototyping and production—moving from medical imaging and NLP experiments to deployed warehouse automation and trading systems—and has been recognized for AI impact at Shell. Based in London, he combines deep technical rigor with startup execution and a global perspective shaped by academic exchange and executive entrepreneurship training.
10 years of coding experience
6 years of employment as a software developer
Executive Education Program - Entrepreneurship Bootcamp, Executive Education Program - Entrepreneurship Bootcamp at Stanford University Graduate School of Business
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Oxford
The University of Hong Kong (HKU)
Exchange Semester, Computer Science, Exchange Semester, Computer Science at University of Illinois Urbana-Champaign
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