Beomyeol Jeon
Senior Machine Learning Engineer at Tesla
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolBeomyeol Jeon is a Senior Machine Learning Engineer at Tesla, focused on building scalable ML infrastructure for the Optimus program, bringing 11 years of experience across AI/ML systems, distributed systems, and cloud computing. He holds a Ph.D. in Computer Science from UIUC, where he built high-performance ML graph device placement and autoscaling inference frameworks that outperformed state-of-the-art systems and were published in SoCC and EuroSys. His background includes research and engineering stints at IBM Research, Nokia Bell Labs, Google, and Somansa, blending academic rigor with production-grade system design. Comfortable across cloud-native platforms (Kubernetes, Ray, AWS Lambda) and ML frameworks (TensorFlow), he specializes in algorithmic and gray-box optimization for real-world, time-varying workloads. Notably, his device placement work achieved orders-of-magnitude speedups over ML-based alternatives, reflecting a knack for turning research insights into practical, high-impact systems. Based in the San Francisco Bay Area, he pairs deep systems expertise with hands-on product delivery for large-scale ML deployments.
11 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at Seoul National UniversityExchange Student, Computer Science, Exchange Student, Computer Science at The University of Texas at AustinUniversity of Illinois Urbana-Champaign
English, Korean
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
system-configuration8
java7
csharp7
apache5
big-data5
machine-learning4
scalability4
scalable4
kubernetes3
distributed-systems2
Programming languages (2)
Github contributions (5)
beomyeol/baechi
Sep 2020 - Jun 2022
Contributions:11 commits, 12 pushes, 1 branch in 1 year 9 months
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