Svetlana Levitan is a senior machine learning engineering leader with seven years of focused ML practice and a long history in statistical software dating back to SPSS and IBM. She combines a PhD-level applied mathematics background with hands-on experience across the full SDLC, deploying production ML on Azure Databricks and driving CI/CD, PySpark, and Databricks workflows. At Walgreens she led cross-functional teams to optimize prescription inventory and supply chain, delivering savings in the hundreds of millions, and now leads ML engineering for fraud at Accertify. A strong advocate for open standards, she managed PMML releases and has been active in ONNX and community meetups, bridging data science and engineering cultures. Known as a technical mentor and developer advocate, she pairs rigorous algorithmic thinking with practical system design to move models reliably into production.
7 years of coding experience
22 years of employment as a software developer
PhD MS Applied Mathematics and Computer Science, PhD MS Applied Mathematics and Computer Science at University of Maryland
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Svetlana Levitan - Senior Manager, ML Engineer at Accertify, Inc.