Phil Wertheimer is a Senior Machine Learning Engineer in New York with nine years of experience building scalable ML platforms and production pipelines. With a Ph.D. background in probability, stochastic processes, and cryptographic applications, he bridges rigorous theory and pragmatic engineering to optimize runtime, scalability, and cost for model training workflows. He has led ML engineering at startups and portfolio companies—designing custom platforms, ETL and deployment pipelines, and observability tools—and currently focuses on ML platform infrastructure at Upstart. Phil combines hands-on expertise across Python, GKE, AWS, and Terraform with operational security experience (led a SOC2 audit) and a track record of shipping revenue-driving products from his earlier healthcare web-app startup.
9 years of coding experience
7 years of employment as a software developer
Johns Hopkins University
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at University of Maryland
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Phil Wertheimer - Senior Machine Learning Engineer at Upstart