Daniel Lee
Machine Learning Engineer II at PubMatic
United States
Summary
👤
Senior🎓
Top SchoolDaniel Lee is a Machine Learning Engineer II with nine years of experience applying statistical rigor and production ML to real-world problems across advertising and enterprise hardware. At PubMatic he progressed from ML Engineer to his current role, building data-driven models that inform ad-tech decisioning, following prior data science roles at HP and internships across biotech and analytics. A summa cum laude UC San Diego graduate in Data Science and Probability & Statistics, he combines strong theoretical grounding with practical deployment experience. Colleagues appreciate his focus on measurable impact and pragmatic model validation rather than academic novelty. Comfortable moving models from prototype to production, he favors interpretable solutions that scale and remain auditable in regulated or high-stakes environments.
9 years of coding experience
4 years of employment as a software developer
University of California, San Diego
English, Korean, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
phrase9
text-mining8
lexicon8
thai7
automatic7
mining7
keyword-extraction6
wordnet6
lda5
topic-modeling5
nltk5
latent-dirichlet-allocation4
nlp4
sentence-similarity4
natural-language-processing4
Programming languages (3)
Github contributions (5)
A04-Capstone-Group-02/movie-analysis
Jan 2021 - Mar 2021
Analyzing Movies Using Phrase Mining
Contributions:30 PRs, 131 pushes, 18 branches in 1 month
analyzingpythonminingmoviesmachine-learning
dleestat/MATH-189
Mar 2018 - Dec 2018
Contributions:150 commits, 13 pushes in 8 months
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