Erich Wellinger is a Principal Machine Learning Engineer with 11 years of experience building and productionizing ML systems, currently leading ML efforts for financial products at Workday from Denver. He has a strong track record of turning research into impact—architecting a Synchronous Inference Framework that accelerated ML feature adoption over 13x and shipping multiple Worktag Recommendation features to production. Prior roles span forecasting and pricing models at AirDNA and recommendation systems at Ibotta, where he deployed production gRPC services and improved cold-start handling for millions of users. Equally comfortable in Python, shell scripting, and LaTeX, he blends hands-on engineering with coaching and curriculum work from his time teaching data science. Outside of work he applies advanced ML creatively—such as predictive models for horse racing—demonstrating a curiosity-driven approach to challenging problems.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (BA) Mathematics, Bachelor of Arts (BA) Mathematics at Wesleyan University
Contributions:23 commits, 2 PRs, 20 pushes in 1 month
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Erich Wellinger - Principal Machine Learning Engineer at Workday