Jessie Daubner is a Principal Machine Learning Engineer with nine years of experience building and operationalizing ML systems across startups and enterprise teams, currently based in Austin, Texas. She has led ML and AI efforts at companies including Elastic, DISCO, and most recently HiddenLayer, bringing production-focused MLOps expertise to fraud detection, logistics, and legal-tech domains. Jessie combines a quantitative foundation in economics and statistics with hands-on software architecture skills, spanning model development, deployment, and scalable tooling. Known for translating research into reliable production pipelines, she thrives on bridging data science and engineering to deliver measurable business impact. An unassuming detail: she progressed from data analyst roles into principal engineering within a decade, highlighting a pragmatic, execution-first approach to technical leadership.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.), Economics & Statistics, Bachelor of Arts (B.A.), Economics & Statistics at Smith College
Contributions:2 PRs, 21 pushes, 7 branches in 4 years 11 months
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