Won Jeon is a Staff Machine Learning Engineer in the San Francisco Bay Area with nine years of industry experience architecting high-performance ML systems and compilers. He has led teams at Arm and Futurewei to optimize distributed training and inference—contributing to MindSpore, GPU/hardware accelerator tuning, and language runtimes leveraging an LLVM-like IR. Earlier work spans mobile and edge deep learning, OpenCL/WebCL compiler/runtime development, and real-time multimedia systems from his Ph.D. research, reflecting a rare blend of systems, compilers, and ML performance expertise. He consistently bridges research and product engineering, shipping production-grade tooling for diverse hardware stacks and contributing to standards and platform integration efforts. A practical innovator, he pairs low-level optimization skills with team leadership to accelerate ML workloads from research prototypes to deployable frameworks.
9 years of coding experience
22 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Illinois Urbana-Champaign
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Yonsei University
Binary Optimization and Layout Tool - A linux command-line utility used for optimizing performance of binaries
Contributions:2 pushes in 1 year 2 months
command-line-utilitylinux
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