Mark Derdzinski
Director, AI ML Engineering at Dexcom
Pittsburgh, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolMark Derdzinski is a Director of AI/ML Engineering with 11 years of experience translating physics-rooted research into regulated, customer-facing data products for biosensing. He combines a Ph.D. in Physics with hands-on ML research and engineering leadership, having launched the first regulated GenAI platform in a commercial medical device and built foundation models, benchmarks, and safety frameworks for FDA-regulated features. Known for navigating high ambiguity, he partners effectively with product, execs, and boards to operationalize reproducible evaluation, alignment monitoring, and differential privacy techniques in production. His background in petabyte-scale data systems and experimental physics informs a rigorous approach to evaluation and real-world evidence generation, while his record of building cross-functional teams and doubling data science capacity highlights both technical depth and organizational impact.
11 years of coding experience
14 years of employment as a software developer
Bachelor of Arts, Physics & Pure Mathematics, Bachelor of Arts, Physics & Pure Mathematics at University of California, BerkeleyUniversity of California, San Diego
Github Skills (1)
cms4
Programming languages (2)
Github contributions (5)
gzevi/LeptonTreeLooper
Jul 2015 - Mar 2017
Contributions:2 PRs, 18 pushes, 1 branch in 1 year 8 months
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