Keith Harrigian
Senior Machine Learning Scientist - Content And Studio DSE at Netflix
Philadelphia, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolKeith Harrigian is a Senior Machine Learning Scientist at Netflix with a decade of experience applying NLP and statistical modeling to content forecasting and audience insights. He holds a PhD and MSE in Computer Science from Johns Hopkins, where his thesis developed methods to detect and measure social and statistical biases in health-related language data. Prior roles span media and entertainment analytics—building NLP pipelines for trailer-to-traffic modeling, multimodal community segmentation, and personalized recommendation infrastructure—plus product-focused ML for adolescent mental wellness at a startup. Keith blends deep academic rigor with production-savvy engineering, having moved research into dashboards and deployed systems across industry and clinical settings. Based in Philadelphia, he brings uncommon domain breadth: from HMMs for sensor data to content strategy optimization for film and TV.
9 years of coding experience
8 years of employment as a software developer
Johns Hopkins UniversityBachelor of Science (BS), Mathematics, 3.92/4.0, Bachelor of Science (BS), Mathematics, 3.92/4.0 at Northeastern University
English, Spanish
Stackoverflow
1reputation
0reached
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Github Skills (27)
health10
mental-health10
reddit10
geolocation9
social-media7
wrapper6
inference6
api5
shift5
python4
temporal3
machine-learning2
benchmark2
classification2
adaptation2
Programming languages (2)
Github contributions (5)
kharrigian/covid-mental-health
Sep 2020 - Nov 2020
Code to support analysis of social media data for mental-health tracking.
Contributions:10 commits, 2 PRs, 141 pushes in 2 months
mental-healthpythonmentalhealthtracking
kharrigian/emnlp-2020-mental-health-generalization
Oct 2020 - Nov 2020
Contributions:16 commits, 2 pushes, 1 branch in 1 month
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