Dean 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 Academy
Master of Science - MS Data Science, Master of Science - MS Data Science at Johns Hopkins Whiting School of Engineering
Bachelors of Fine Arts (BFA) Painting, Bachelors of Fine Arts (BFA) Painting at Rhode Island School of Design
Contributions:9 PRs, 134 pushes, 9 branches in 3 years 6 months
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Dean Goldman - Machine Learning Engineer at Coinbase