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.
9 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 (65)
azure10
controlling9
microsoft-azure9
microsoft9
water8
points8
double8
causal8
causal-inference8
predict8
cpp7
intake7
causality7
active-learning7
frontier7
Programming languages (8)
Github contributions (5)
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
collaborative-projectdata-sciencemachine-learninglearningscollaborative
kfoofw/nba_espn
Dec 2019 - Apr 2020
Contributions:25 commits, 24 pushes, 1 branch in 3 months
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