Dillon Quan
Machine Learning Engineer at Cash App
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolDillon Quan is a Machine Learning Engineer with 8 years of experience bridging electrical engineering foundations and production ML across NLP, forecasting, and image generation for e-commerce, fashion, cybersecurity, marketing, and healthcare. He has moved from hands-on data science and intern work—building CNNs for malicious URL detection and Transformer NMT models—to production ML roles at startups and larger firms, most recently at Cash App. Dillon combines rigorous experimental modeling with data engineering experience (Spark, PyTorch, scikit-learn) and a practical eye for product roadmaps born from healthcare and security projects. Based in Oakland, he’s particularly interested in how generative AI can reshape business workflows and user experiences, and he brings a systems-oriented perspective from his electrical engineering background supporting submarine systems.
8 years of coding experience
6 years of employment as a software developer
University of California, San DiegoMaster of Science - MS Data Science, Master of Science - MS Data Science at University of San FranciscoCertification of Completion Data Science, Certification of Completion Data Science at Springboard
Github Skills (23)
collaborative-filtering8
implicit8
matrix-factorization8
statistics7
filtering6
representations6
recall6
recommender-system6
machine-learning6
python6
datasets6
data-analysis5
recommender5
data-science5
recommendation-system5
Programming languages (2)
Github contributions (5)
dillon-quan/Meetup-Recommendation-System
Apr 2018 - May 2018
Recommending relevant Meetup groups
Contributions:27 commits, 21 pushes, 1 branch in 1 month
groupsrecommenderrecommendation-systemrecallrecommendation-engine
dillon-quan/test
Oct 2020 - Aug 2021
Contributions:2 PRs, 8 pushes, 3 branches in 9 months
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