Ken Koh is a Senior AI Engineer based in Singapore with 11 years of experience building and deploying applied ML and geospatial solutions across research and industry. He has moved models from prototype to production—leading unsupervised domain adaptation research (first author on a paper) at A*STAR and shipping fraud-detection and automation systems that materially reduced claim handling time at AI Singapore. Comfortable across the stack, Ken combines computer vision, speech and image-generation work with pragmatic engineering practices from full-stack development and TDD. Now at Temus, he focuses on scalable AI applications informed by a strong academic foundation from NTU and UC Berkeley. An unsung strength is his ability to bridge novel research techniques (e.g., consistency regularization for UDA) with production constraints to deliver measurable business impact.
11 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of California, Berkeley
Bachelor’s Degree, Computer Science, 4.69, Bachelor’s Degree, Computer Science, 4.69 at Nanyang Technological University
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