Summary
Desmond Yeoh is a software engineer at Meta with 11 years of experience building internal enterprise tools and full-stack products using React, Hack, GraphQL, Python and mobile stacks. He combines production engineering with applied AI research—previous roles include building distributed ML training platforms at Shopee and conducting fraud and credit modelling research at NUS and MoneyLion. A first-class Computer Science (AI) graduate, he has practical experience taking state-of-the-art ML models from research to distributed GPU-backed experimentation and production services. At Meta he shipped cross-product collaboration features and supply-chain tooling that connect internal and third-party users, reflecting a knack for designing systems that bridge teams and data. Colleagues would note his unusual blend of hands-on front-end/mobile craft and deep experience in semi-supervised and one-class anomaly detection on real-world enterprise data.
11 years of coding experience
4 years of employment as a software developer
Southeast Asia Machine Learning School (SEAMLS), Southeast Asia Machine Learning School (SEAMLS) at University of Indonesia
Physics, Chemistry, Biology, Maths, 4.00/4.00, Physics, Chemistry, Biology, Maths, 4.00/4.00 at Malacca Matriculation College
Deep Learning Summer School, Deep Learning Summer School at Tsinghua University
Bachelor of Computer Science (Artificial Intelligence), Artificial Intelligence, 3.94/4.00, First-Class Honours (with Distinction), Bachelor of Computer Science (Artificial Intelligence), Artificial Intelligence, 3.94/4.00, First-Class Honours (with Distinction) at University of Malaya