Jeremy Jacobson
AI Architect at Ricoh USA, Inc.
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolJeremy Jacobson is an AI Architect with nine years of experience designing cloud-native machine learning systems and leading teams to production-scale solutions. Currently advising Ricoh USA on AI portfolio strategy, he previously built scalable forecasting pipelines at Toptal—introducing PyTorch-based neural time-series models that enabled an order-of-magnitude data expansion for a major rail operator. A former Emory faculty member and GPU computing lead, he combines deep academic rigor (PhD in Mathematics) with hands-on cloud and research-computing expertise, having created the university’s first cloud ML curriculum and faculty environments on AWS. Comfortable moving between research and production, he mentors researchers, runs GPU workshops, and translates advanced mathematics into practical ML architectures.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at University of Wisconsin-MadisonDoctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at Louisiana State University
Github Skills (39)
machine-learning-models10
jupyter10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
aws10
jupyter-notebook10
amazon10
data-science9
python9
mlops9
deep-learning9
amazon-sagemaker9
regex8
Programming languages (5)
Github contributions (5)
jeremyallenjacobson/PyData2017
May 2017 - Jan 2023
Contributions:14 pushes, 1 branch, 1 comment in 5 years 8 months
jeremyallenjacobson/jeremyallenjacobson.github.io
Sep 2016 - Oct 2022
Contributions:81 commits, 84 pushes, 1 branch in 6 years 2 months
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