Stas Sajin is a Machine Learning Engineer with a decade of experience building production ML systems, data infrastructure, and microservices across finance and consumer product companies. He combines a PhD-level background in cognitive science with hands-on expertise in Python, Spark/Scala, Redshift, and AWS to move models from prototype to deployed services that drive business outcomes. At Earnest he built underwriting and pricing services that materially improved automation and reduced costs, and at DoorDash advanced data-driven product features while mentoring cross-functional teams. He favors pragmatic tooling—DBT, Dagster, FastAPI, Terraform—and emphasizes reproducibility, testing, and observability in ML pipelines. Known for hiring and managing empathetic data teams, he also authors practical guidance on data team culture and has a track record of early adoption of effective engineering patterns.
10 years of coding experience
8 years of employment as a software developer
CFA Candidate Finance, CFA Candidate Finance at CFA Institute
Doctor of Philosophy (Ph.D.) Cognitive and Brain Sciences, Doctor of Philosophy (Ph.D.) Cognitive and Brain Sciences at Binghamton University
Bachelor’s Degree Business Administration, Bachelor’s Degree Business Administration at Alfred State College - SUNY College of Technology
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