Erin Boehmer is a Staff AI and ML Platform Engineer with 11 years of experience building production data and ML platforms for high-growth tech companies. She excels in Python, experimental design, and data visualization, and has led platform initiatives at Carta, Equilibrium Energy, and now Hinge that standardized ML lifecycle tooling (e.g., Metaflow, Label Studio) and enabled cross-product analytics. Erin has a track record of turning slow, ad-hoc analytics into repeatable, scalable pipelines—at Fenix she cut reporting time from hours to seconds—and she regularly partners with senior leadership to deliver business-impacting insights. A Bay Area–trained data scientist (UC Berkeley MIS/MDIS, UVA undergrad), she combines hands-on engineering with hiring and team-building experience, often surfacing data-quality improvements through models like entity deduplication and churn prediction.
11 years of coding experience
11 years of employment as a software developer
Master of Information and Data Science Data Science, Master of Information and Data Science Data Science at University of California, Berkeley
Valedictorian, Valedictorian at Chatham High School
Systems Engineering Computer Science (Double Major), Systems Engineering Computer Science (Double Major) at University of Virginia
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