Summary
Yu Lin is a senior engineer with 13 years of experience specializing in GPU and VLSI design, focused on high-accuracy analytical and cycle-approximate GPU modeling for performance optimization. Currently at MediaTek, he builds benchmarking infrastructure and verification plans while developing cycle-approximate GPU models; previously he delivered AI accelerator hardware and compiler integration for ADAS at Inventec. His background blends academic research (PhD-level work in multimedia, computer vision, and computer architecture at NTU) with hands-on implementation of GPGPU AI libraries and OpenCL-accelerated CV algorithms. Known for bridging architecture, verification, and compiler stacks, he brings a rare combination of modeling precision and practical accelerator delivery experience from Taipei’s semiconductor ecosystem.
13 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at National Taiwan University