Pier Lim

VP, Machine Learning And Data

Singapore
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Summary

👤
Senior
🎓
Top School
Pier Lim is an AI and data leader based in Singapore with nine years of experience building enterprise-scale ML and GenAI capabilities, currently serving as VP, Machine Learning and Data at Temasek. He combines a strong engineering foundation from roles at DSTA and DSO National Laboratories with advanced academic training in Knowledge Engineering (MTech, NUS), enabling him to bridge research-grade models and production systems. Pier has a track record of turning data science into business value—leading cross-functional programs, shipping scalable ML pipelines, and embedding GenAI into enterprise workflows. He also brings entrepreneurial perspective from founding a startup and practical BI experience from industry internships, which helps him balance innovation with operational rigor. A pragmatic technologist, he focuses on measurable impact rather than academic novelty, and is fluent in both product and infrastructure conversations.
code9 years of coding experience
job8 years of employment as a software developer
bookBachelor of Computer Engineering, Computer Engineering, Bachelor of Computer Engineering, Computer Engineering at Nanyang Technological University
bookDunman High School
bookMaster of Technology - MTech, Knowledge Engineering (Data Science / Machine Learning), Master of Technology - MTech, Knowledge Engineering (Data Science / Machine Learning) at National University of Singapore
languagesChinese, English
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Stats
1,937reputation
305kreached
43answers
87questions
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Github Skills (139)

sentence10
python10
deep-learning10
forecast10
multilingual10
forecasting-models10
forecasts10
neural-network10
sentence-embeddings10
data-science10
tensorflow10
roberta10
electra10
machine-learning10
word-embeddings10

Programming languages (8)

TypeScriptC++CJavaScriptXSLTJupyter NotebookPythonJsonnet

Github contributions (5)

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Contributions:47 commits, 6 pushes in 12 days
Contributions:40 commits in 13 days
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Pier Lim - VP, Machine Learning And Data