Chris Sipola
Senior Machine Learning Engineer at Spotify
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolChris Sipola is a Senior Machine Learning Engineer in New York with nine years of experience building production ML systems across music streaming, real estate, and regulatory analytics. At Spotify he advances recommendation and large-scale ML infrastructure after earlier roles at Zillow and Google where he shipped visible products and dashboards used broadly across the organizations. He has led small teams and directed data science efforts to deliver text classification, entity recognition, ontology mapping, and economic metrics pipelines, pairing rigorous quantitative training (MS in AI and MS in Applied Economics) with practical production engineering. Notably, he has experience translating forensic market-detection models into tools used by regulators and turning research collaborations into operational learning experiences. Colleagues would describe him as someone who bridges economics, machine learning, and product delivery to turn complex data into actionable, scalable systems.
8 years of coding experience
6 years of employment as a software developer
MS, Artificial Intelligence, focus in Machine Learning, MS, Artificial Intelligence, focus in Machine Learning at The University of EdinburghHS Diploma, HS Diploma at West Islip Senior High SchoolJohns Hopkins UniversityBA, Economics, minor in Mathematics, BA, Economics, minor in Mathematics at University of Pennsylvania
Stackoverflow
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Github Skills (13)
deploying9
machine-learning8
watson8
tfx8
tensorflow7
apache-beam7
docker7
mlflow4
mlops4
vscode3
ml3
elm3
vscode-extension2
Programming languages (2)
Github contributions (5)
sipolac/cryptogram-solver
Sep 2018 - Aug 2019
Solver for cryptograms (substitution ciphers)
Contributions:28 commits, 1 PR, 72 pushes in 11 months
sipolac/thesis
Jun 2017 - Mar 2019
Contributions:8 commits, 9 pushes in 1 year 9 months
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