Yuriy Pakhotin is a Senior Data Scientist with over a decade of hands-on experience architecting large-scale ML and big data systems, currently driving safety and autonomy analytics at General Motors in Austin. With a PhD in Experimental Particle Physics and prior work at CERN, he blends rigorous scientific methods with production-grade engineering to turn massive telemetry and event streams into actionable insights for Super Cruise and vehicle safety. He has built real-time data quality pipelines and ML-driven anomaly detection that raised telemetry integrity to 99.9%, and led model development in Spark on Azure Databricks to classify AV events across thousands of fleet vehicles. A seasoned mentor and instructor, Yuriy trains engineers, advises startups and serves on AI risk committees, bringing both thought leadership and operational discipline to ML governance. His background in high-performance distributed computing and FPGA-enabled data acquisition reveals a knack for moving algorithms from research prototypes to resilient, mission-critical systems. Based in Austin, he uniquely marries Nobel-caliber physics experience with pragmatic automotive AI product delivery.
12 years of coding experience
21 years of employment as a software developer
Graduate Certificate in Advanced Degree Data Science, Graduate Certificate in Advanced Degree Data Science at Harvard University
Master of Science Experimental Particle and Nuclear Physics, Master of Science Experimental Particle and Nuclear Physics at Novosibirsk State University (NSU)
Doctor of Philosophy Experimental Particle and Nuclear Physics, Doctor of Philosophy Experimental Particle and Nuclear Physics at University of Florida
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