Hyeonseop Lee
Machine Learning Engineer at Moloco
Redwood City, California, United States
Summary
👤
Senior🎓
Top SchoolHyeonseop Lee is a Machine Learning Engineer with 11 years of experience building data-driven systems that deliver measurable business value. Based in Redwood City, he has led ML and data engineering efforts across high-scale consumer products—designing real-time A/B testing and recommendation systems for PUBG Corporation and building B2C commerce and behavior analytics platforms at Grinder. At Moloco he continues to apply production ML at scale, drawing on prior work creating pipelines and real-time personalization at Hyperconnect and experimenting with network congestion control during a Google internship. He combines hands-on system design, real-time data pipelines, and Bayesian/MAB approaches to improve monetization and engagement, and often bridges engineering and product needs as a technical lead. Notably, his background spans both low-level performance work and applied ML in commerce and gaming, giving him a rare blend of infrastructure and product-focused ML experience.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at Korea Advanced Institute of Science and Technology
Github Skills (61)
python10
charts10
dao10
java10
scala10
sql10
mysql9
apache9
postgresql9
apache-flink9
javascript9
json9
kubernetes9
ruby9
linux9
Programming languages (8)
Github contributions (5)
protos37/dotfiles
Jan 2015 - Aug 2019
Contributions:32 pushes in 4 years 7 months
pwnbox/pwnbox
Jan 2015 - Sep 2016
Contributions:4 releases, 70 commits, 14 PRs in 1 year 8 months
pythonsolvingtoolboxpython-toolboxproblem-solving
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