Summary
Gabriel Poon is an experienced machine learning engineer with 12 years of practice applying ML and engineering principles to real-world problems, based in Hong Kong. He combines a strong interdisciplinary academic background—MSc in Symbolic Systems from Stanford and a BA in Cognitive Science and Economics from Pomona College—with practical engineering instincts. Gabriel is particularly interested in improving the intersection of model performance and system reliability, bringing research-informed approaches into production contexts. His international education, including study abroad at Cambridge and early schooling in Hong Kong, gives him a global perspective on product and team collaboration. Colleagues would describe him as pragmatic, curious, and adept at translating cognitive-science insights into robust ML systems.
12 years of coding experience
Study Abroad, Study Abroad at University of Cambridge
Hong Kong International School
Bachelor of Arts (B.A.) Cognitive Science and Economics, Bachelor of Arts (B.A.) Cognitive Science and Economics at Pomona College
Master of Science (M.Sc.) Symbolic Systems, Master of Science (M.Sc.) Symbolic Systems at Stanford University
English, Chinese, Chinese