Deborah Siegel
Principal Data Science Engineer
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDeborah Siegel is a Principal Data Science Engineer in Seattle with 11 years of experience building customer-focused ML products and leading cross-functional teams from design through deployment. She has driven identity and MLOps initiatives at The Trade Desk, scaled hybrid identity graphs and feature pipelines at Adbrain, and recently worked on RLHF and AI systems before joining Evertune AI. Deborah blends deep technical expertise in clustering, deep learning, data pipelines, and model operations with hands-on cloud and container experience, and she has a track record of growing teams and establishing production-grade ML workflows. Her early bioinformatics and lab systems work gives her a rare ability to connect experimental data realities to robust engineering solutions.
11 years of coding experience
9 years of employment as a software developer
B.S. Cellular and Molecular Biology, B.S. Cellular and Molecular Biology at University of WashingtonHarvard Business School OnlineLandmark
Russian, Hebrew, English
Github Skills (21)
apache-spark10
spark10
python10
r10
big-data10
hadoop10
apache10
jdbc10
analytics10
java10
large-scale10
scala10
scale10
sql10
data-processing10
Programming languages (3)
Github contributions (5)
morningc/wwconnect-2016-spark4everyone
Mar 2016 - Mar 2016
Contributions:43 commits, 42 pushes in 15 days
d3borah/spark
Mar 2015 - Apr 2015
Contributions:6 pushes in 1 month
apachebig-datasparkscalaapache-spark
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