Ellis Valentiner is a data-driven engineering leader with 11 years of experience building ML-first products and production data pipelines for startups and mid-stage companies. Currently Head of Engineering at Mason, he has led teams that operationalized document processing, alarm extraction, and energy disaggregation systems using tools like PyTorch, scikit-learn, ArgoCD, Kubernetes, and AWS. Trained as a statistician (MS, Carnegie Mellon), Ellis blends rigorous statistical practice with hands-on backend and MLOps engineering, shipping end-to-end solutions from messy raw signals to reliable analytics. He has a track record of instituting GitOps/MLOps standards and scaling small teams into repeatable delivery engines. Based in Ypsilanti, he brings a rare combination of applied academic grounding and practical product focus that turns ambiguous data problems into deployable features.
11 years of coding experience
16 years of employment as a software developer
BA Psychology Liberal Arts for the Human Services, BA Psychology Liberal Arts for the Human Services at University of Minnesota Morris
Master's degree Statistical Practice, Master's degree Statistical Practice at Carnegie Mellon University
Contributions:15 releases, 17 reviews, 76 commits in 1 year 4 months
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