Kenneth Foo
Senior Software Engineer (Applied Science) at Braze
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolKenneth Foo is a Senior Software Engineer and applied scientist with a decade of experience building production ML systems and product-focused data science across fintech and growth teams. He has driven personalization, bandit-driven experimentation, and uplift/heterogeneous treatment effect analyses at Wealthsimple and now applies those skills to applied science at Braze. His background spans end-to-end ML delivery—model simulation, Azure ML pipelines, AutoML evaluation, and data reconciliation—paired with hands-on mentoring of bootcamp students. Earlier work as a process engineer gives him uncommon strength in modeling physical systems, optimization, and operational rigor. Kenneth writes on practical data science projects and publications, signaling a habit of turning research curiosities into reproducible work.
10 years of coding experience
10 years of employment as a software developer
NUS Overseas College (NOC) Program Entrepreneurship/Entrepreneurial Studies, NUS Overseas College (NOC) Program Entrepreneurship/Entrepreneurial Studies at University of PennsylvaniaMaster of Data Science, Master of Data Science at The University of British ColumbiaBachelor of Engineering (B.Eng.) Chemical and Biomolecular Engineering, Bachelor of Engineering (B.Eng.) Chemical and Biomolecular Engineering at National University of Singapore
Github Skills (50)
predict9
causal-inference9
microsoft-azure9
cpp8
active-learning8
reinforcement-learning8
algorithms8
points8
data-exchange7
water7
machine-learning7
causality7
intake6
econometrics6
crfsuite5
Programming languages (8)
Github contributions (5)
kfoofw/nba_espn
Dec 2019 - Apr 2020
Contributions:25 commits, 24 pushes, 1 branch in 3 months
kfoofw/applied_learning_articles
Jun 2021 - May 2022
Collaborative project for documenting ML/DS learnings.
Contributions:17 commits, 1 PR, 16 pushes in 11 months
machine-learningbanditscausal-inferenceuplift-modelling
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