Greater Kitchener-Cambridge-Waterloo Metropolitan Area Canada
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Summary
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Senior
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Top School
Wei Loh is a Machine Learning Researcher and PhD candidate at the University of Waterloo with eight years of industry and research experience building practical ML systems for finance, healthcare, and edge applications. His doctoral work focuses on multimodal tabular foundation models (TFMs) that bridge academic advances in LLMs/VLMs with the flexibility and robustness required for real-world commercial deployments. Prior to graduate school he shipped production data-science solutions at BlackBerry and CIBC, and has completed industry-funded research collaborations with Google, Manulife, and the Vector Institute that granted access to specialized compute and production constraints. He combines deep modeling expertise—ranging from time-series transforms and interpretable driver recognition architectures to information-extraction pipelines—with hands-on ML engineering for deployment. A notable throughline in his work is translating cutting-edge model innovations into practical tools that address industry adoption barriers rather than chasing benchmark-only gains.
8 years of coding experience
4 years of employment as a software developer
The International School of Penang (Uplands)
Broadrick Secondary School Singapore
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Waterloo
Contributions:10 pushes, 2 branches in 2 years 4 months
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