Brian Dellabetta
Sr ML Engineer at Red Hat
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolBrian Dellabetta is a senior ML engineer with 12 years of experience blending research-grade physics and production machine learning to solve complex data problems. Currently at Red Hat and teaching graduate CS/Data Science courses at DePaul University, he pairs hands-on engineering leadership with an educator’s clarity. His background includes leading ML software at Zapata Computing, data science and engineering at Bank of America, and founding roles as Chief Data Scientist at Learnmetrics, reflecting strength in both startups and enterprise settings. Brian holds a PhD in Electrical and Electronics Engineering and earlier research produced reusable code for non-equilibrium electronic transport, signaling a strong foundation in scientific computing and reproducible research. Based in Chicago, he brings a rare mix of deep domain knowledge, production ML deployment experience, and a track record of translating academic algorithms into real-world systems.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical and Electronics Engineering, Doctor of Philosophy (PhD) Electrical and Electronics Engineering at The Grainger College of EngineeringBachelor of Science (BS) Electrical and Electronics Engineering, Bachelor of Science (BS) Electrical and Electronics Engineering at University of Iowa
Stackoverflow
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Github Skills (75)
transformers10
language-model10
interoperability10
python10
compression-algorithm10
deep-learning10
ffi10
gemma10
compression10
quantization10
glm10
multimodal10
audio10
transformer10
evaluation-framework10
Programming languages (6)
Github contributions (5)
brian-dellabetta/Fusion.jl
Jun 2024 - May 2026
Animations for fusion concept idea
Contributions:30 PRs, 66 pushes, 32 branches in 1 year 10 months
zapatacomputing/z-qml
May 2021 - Jun 2022
Pack for quantum machine learning
Contributions:1 release, 5 reviews, 8 commits in 1 year 1 month
machine-learningproduct-development
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