Summary
Kobe Yu is a Senior Engineer with over a decade of hands-on experience spanning compilers, run-time libraries, embedded firmware, and computer vision. For the past four years he has driven JIT code generation, executable formats and binutils for NPUs/Image accelerators while tuning face-detection and recognition algorithms in production settings. He combines practical product-facing engineering (iOS, backend, embedded Linux) with active PhD research at National Tsing Hua University on DNN performance and compiler optimizations for neural accelerators. Comfortable across C/C++, Python, Swift and tooling chains, he bridges low-level systems work and high-level algorithmic tuning. Based in Hsinchu, Taiwan, Kobe pairs industry delivery at companies like Kneron and MSI with academic rigor under Prof. Jenq-Kuen Lee, making him effective at translating research advances into deployable ML acceleration. An engineer motivated by impact, he brings both product shipping experience and deep optimization expertise to performance-critical ML systems.
11 years of coding experience
8 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at National Chung Cheng University
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at National Chin-Yi University of Technology
Ph.D. Student, Computer Science, Ph.D. Student, Computer Science at Tsinghua University