Kaiser Sun is an AI researcher focused on natural language processing, with nine years of industry and academic experience spanning FAIR Labs, AWS AI Labs, and research roles at the University of Washington. He develops methods for efficient, explainable, and robust NLP while explicitly integrating fairness and bias considerations into his work. A dual background in computer science and mathematics (B.S./M.S. from UW) and mentorship under Noah A. Smith and Ana Marasović inform his rigorous, theory-aware approach. Currently an AI resident turned research intern and incoming PhD student at Johns Hopkins with Mark Dredze, he bridges applied industrial projects (e.g., Kendra, Plato) and foundational research. Notably, he combines applied engineering internships at Amazon with deep research roles, giving him a practical edge in moving models from prototype to production-ready systems.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science and Engineering, Master of Science - MS Computer Science and Engineering at University of Washington
Johns Hopkins University
High School Diploma Honors Curriculum, High School Diploma Honors Curriculum at Shenzhen Middle School
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