Summary
Saehanseul Yi is an AI Frameworks Engineer at Intel with a decade of experience optimizing performance across embedded and high-performance computing platforms. With a PhD from UC Irvine and a strong foundation in computer architecture and parallel programming, she has hands-on expertise in CUDA, OpenCL, OpenMP, and GPU-driven heterogeneous runtime resource management. Her work spans from embedded Linux PON devices during military service to research internships at Technical University Munich and deep learning engineering at Intel, bridging academia and production. She focuses on performance analysis, monitoring, and self-adaptive runtimes, now applying those principles to the stricter constraints of safety-critical real-time systems. Known for combining rigorous measurement-driven optimization with practical system engineering, she brings both breadth and depth across hardware-software boundaries. Based in California, she blends research pedigree with industry delivery to make complex, resource-constrained systems predictable and efficient.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, 4.00/4.00, Master of Science - MS, Electrical and Computer Engineering, 4.00/4.00 at University of Seoul
University of California, Irvine
English