Jeffrey Binder
Principal Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJeffrey Binder is a Principal Data Scientist based in New York with 13 years of experience building production-scale ML systems that detect sensitive data and automate ETL workflows. He blends academic rigor—PhD work and a published book on the history of algorithms—with hands-on engineering, having designed custom transformers, real-time anomaly detectors, and petabyte-scale classifiers. At Intellistack and Open Raven he led teams and end-to-end pipelines from architecture and training to deployment and monitoring using tools like PyTorch, SageMaker, Kafka Streams, and Kubernetes. He teaches and writes about computational methods and digital humanities, translating deep knowledge of language and history into practical NLP solutions. Less obvious: his background in English and long-form scholarship informs a rare combination of narrative sensitivity and technical precision when modeling language and privacy.
13 years of coding experience
17 years of employment as a software developer
Master of Arts - MA English, Master of Arts - MA English at New York UniversityDoctor of Philosophy - PhD English, Doctor of Philosophy - PhD English at The Graduate Center, City University of New YorkBachelor of Arts - BA English/Math, Bachelor of Arts - BA English/Math at Washington University in St. Louis
Github Skills (24)
compression10
pytorch9
python9
machine-learning9
inference9
mixture-of-experts9
gpu9
deep-learning9
optimization8
deepspeed8
algorithms7
scipy7
neural-network7
numpy7
tensorflow7
Programming languages (1)
Github contributions (5)
jeffbinder/visions-and-revisions
Mar 2020 - Feb 2022
Contributions:52 commits, 39 pushes, 1 branch in 1 year 11 months
jeffbinder/promptarray
Oct 2021 - Nov 2022
Contributions:13 commits, 9 pushes, 1 branch in 1 year 1 month
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