Brian Dolhansky
Machine Learning Engineer at Yobi
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolBrian Dolhansky is a Machine Learning Engineer with 13 years of experience building and scaling ML systems across research and product teams, currently leading the Core Signals team at Yobi from New Jersey. His background spans senior engineering and staff-level AI roles at Meta and Reddit and deep academic training as a Ph.D. candidate in machine learning, giving him strengths in both cutting-edge research and production deployment. He has moved between industry and academia since early research assistant roles at Drexel and internships at Amazon and Facebook, which cultivated a pragmatic approach to prototyping and productionizing models. Known for translating complex signal processing and ML ideas into reliable infrastructure, he focuses on measurable impact in user-facing systems. Quietly, his path reflects a steady climb from hands-on research to cross-functional leadership, combining domain depth in electrical engineering with applied ML at scale.
13 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Machine Learning, Doctor of Philosophy (PhD), Machine Learning at University of WashingtonMaster of Science (M.S.), Electrical Engineering, Master of Science (M.S.), Electrical Engineering at Drexel UniversityDoctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at University of Pennsylvania
Github Skills (13)
python8
gpu7
machine-learning7
deep-learning7
numpy5
neural-network5
pytorch4
tensor3
pyi3
gpu-acceleration3
data-science2
autograd2
thrift2
Programming languages (2)
Github contributions (5)
bdol/bdol-ml
Feb 2014 - Dec 2016
A centralized repository for a variety of clean machine learning examples.
Contributions:26 commits, 1 PR, 1 push in 2 years 9 months
machine-learning
bdol/exemplar_gans
Dec 2017 - Dec 2017
Repository for Exemplar GANs code and datasets
Contributions:65 commits, 76 pushes, 1 branch in 7 days
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