Michael Kao

Staff Data Scientist

Singapore
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Summary

👤
Senior
🎓
Top School
Michael Kao is a Staff Data Scientist based in Singapore with 13 years of experience building production ML systems, data foundations, and experimentation frameworks across advertising, marketplaces, social media and international organizations. He combines strong statistical training (MSc, First Class Honours) with hands-on MLOps and engineering (Python, Go, Flyte, DBT) to deploy scalable matchmaking and pricing models that saved millions in costs and lifted key metrics. At Gojek he led real-time ML matchmaking, unified prediction interfaces, and modernized pipelines to speed iteration from months to weekly; at Airwallex he’s focused on ML foundations and marketing mix optimization. He has a track record of applying Bayesian and synthetic-control experimentation, survival analysis for LTV, and novel NLP pipelines for early-warning systems at the FAO, reflecting a taste for principled methods that solve messy real-world problems. Outside work he experiments publicly—sharing a CV chatbot and writings on Medium—and brings a global, design-aware perspective shaped by nomadic and underwater-inspired curiosity.
code13 years of coding experience
job10 years of employment as a software developer
bookMaster of Science (M.Sc.), Statistics, Master of Science (M.Sc.), Statistics at University of Auckland
languagesEnglish, Chinese, Mandarin
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Github Skills (60)

agentic9
scale8
r-package8
web-application8
flyte7
golang7
machine-learning7
fine-tuning7
boosting7
python7
data-analysis7
grpc7
jekyll6
ai-workflows6
knitr6

Programming languages (8)

RSCSSTeXJavaScriptGoHTMLJupyter NotebookPython

Github contributions (5)

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This is the repository for the web application Random Walker
Contributions:601 commits, 50 PRs, 373 pushes in 1 year 3 months
javascriptrandom-walkerweb-applicationwalker
mkao006/FAOSTATpackage

Apr 2013 - Jan 2020

The full FAOSTAT package including build
Contributions:59 commits, 5 PRs, 18 pushes in 6 years 10 months
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