Dean Goldman
Machine Learning Engineer at Coinbase
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDean Goldman is a machine learning engineer with nine years of experience blending data science, software engineering, and applied AI across startups and enterprise teams. He has built production ML solutions at Koios Medical and now at Coinbase, after earlier roles in data engineering at Samsung Ads and teaching data science in NYC. Trained with an MS in Data Science from Johns Hopkins and a BFA in Painting from RISD, he brings a rare mix of rigorous technical skills and creative problem‑solving. Dean focuses on impactful, research-informed applications of ML—especially in regulated or product-driven contexts—and is adept at moving models from prototype to production.
8 years of coding experience
7 years of employment as a software developer
NYC Data Science AcademyMaster of Science - MS Data Science, Master of Science - MS Data Science at Johns Hopkins Whiting School of EngineeringBachelors of Fine Arts (BFA) Painting, Bachelors of Fine Arts (BFA) Painting at Rhode Island School of Design
Github Skills (33)
pre-trained-model9
dynamodb9
amazon-dynamodb9
nlp8
vision-and-language8
radiant8
pythonic8
language-understanding8
multimodal-deep-learning8
amazon8
multimodal7
aws7
language-modeling7
python7
sentence-similarity7
Programming languages (3)
Github contributions (5)
deanjgoldman/housing-ml
Feb 2018 - Mar 2018
Contributions:51 commits, 34 pushes, 1 branch in 26 days
deanjgoldman/deanjgoldman.github.io
Mar 2020 - Sep 2023
Contributions:9 PRs, 134 pushes, 9 branches in 3 years 6 months
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