Zsolt Pajor-gyulai
Staff AI ML Engieer at General Motors
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolZsolt Pajor-gyulai is a Staff AI/ML engineer with a PhD in Mathematics and nine years of industry experience translating rigorous quantitative research into production-grade ML systems for autonomous vehicles and systematic trading. He has led cross-functional teams at Cruise to build multimodal embedding search, continuous ingestion pipelines, and live collision-risk detectors integrated into autonomy stacks, and earlier engineered large-scale forecasting systems for multi-billion AUM strategies at Voleon. Comfortable moving between theory and implementation, he combines deep mathematical insight—evident from a strong academic publication record—with practical software delivery in C++ and production ML. Known for setting technical direction and measurable safety metrics, he excels at turning long-tail, low-coverage data into actionable training and evaluation assets for perception and planning. Based in New Jersey, he brings an uncommon mix of academic rigor, hands-on engineering, and domain experience across finance and AV safety.
9 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at Budapest University of Technology and EconomicsDoctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at University of Maryland
Hungarian, English
Github Skills (13)
science5
ipython5
jupyter-notebook5
machine-learning4
python4
visualization3
data-science3
inspect3
fairness-ml2
r2
scikit-learn2
progress-bar2
machine-learning-models2
Programming languages (2)
Github contributions (5)
Moosquibe/Discrete-Math
Jan 2017 - Nov 2021
Contributions:1 push, 1 branch in 4 years 10 months
Moosquibe/Comparison-of-AI-algorithms-for-TicTacToe
Jan 2018 - Apr 2024
Contributions:1 PR, 53 pushes, 4 branches in 6 years 3 months
implementationsparalleldeep-learningmathematicsin-class
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