George Jeno
CTO, Tech Lead at TieSet
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolGeorge Jeno is a CTO and tech lead with a decade of experience building AI systems, currently leading TieSet from the San Francisco Bay Area. He specializes in novel algorithms for efficient, privacy-preserving distributed AI and leads implementation of the STADLE platform to bring those techniques into production. With an MS in Machine Learning from Georgia Tech and a BS in Computer Science, he bridges rigorous research with practical engineering to scale secure, decentralized ML workflows. As TieSet’s CTO he combines hands-on system design with a product-minded approach, and his background suggests a penchant for turning privacy research into deployable infrastructure.
10 years of coding experience
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at Georgia Institute of Technology
Github Skills (17)
nvidia6
jetson6
tablet5
driver5
nvidia-jetson5
machine-learning5
jetpack5
docker5
pytorch4
scikit-learn4
tensorflow4
pandas4
source-engine3
numpy3
wacom2
Programming languages (6)
Github contributions (5)
georgejeno8/modular-layers
Nov 2016 - Oct 2018
Contributions:24 pushes, 1 branch in 1 year 11 months
georgejeno8/stadle_examples
Apr 2022 - Apr 2025
This repo includes a variety of examples that integrate STADLE into standard machine learning processes.
Contributions:14 pushes, 3 branches in 2 years 11 months
pythondeep-learningmachine-learningvarietyintegrate
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