Yung Liau is a Senior Machine Learning Engineer based in Singapore with 13 years of experience delivering production ML systems and research-grade models. He combines a strong academic foundation in electrical engineering (B.Eng. and M.Sc., NUS) with hands-on roles spanning research at I²R—where his teams won cybersecurity and author-profiling competitions—to senior data science positions at DataRobot and production ML engineering at FeatureByte. Yung is adept at taking models from prototype to scalable deployment, focusing on practical tooling, data processing, and feature engineering. He contributes to open-source tooling—building a polished command-line CSV viewer that added robust scrolling and navigation features—showing attention to developer UX as well as backend reliability. Colleagues know him for translating complex ML research into auditable, production-ready systems and for pragmatic problem solving under operational constraints.
13 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Electrical Engineering, Bachelor of Engineering (B.Eng.), Electrical Engineering at National University of Singapore
Contributions:13 reviews, 164 commits, 53 PRs in 1 year 5 months
Contributions summary:Yung contributed to the development of a command-line CSV viewer, enhancing its functionality and user experience. Key additions included vertical scrolling, the display of row numbers, and the ability to handle tables wider than the frame. Furthermore, the user implemented horizontal scrolling and added the functionality to jump to a specific line in the CSV data.
Contributions:64 commits, 1 branch in 1 year 2 months
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Yung Liau - Senior Machine Learning Engineer at FeatureByte