Summary
Gavin Lee is a Staff AI Software Engineer based in New Taipei with 17+ years of deep expertise in GenAI, AI audio, edge AI optimization, and embedded DSP systems. He has led full-stack performance tuning for AI workloads—delivering major latency and power savings on NPUs—while architecting production voice and audio solutions at Intel and Amazon that scaled across global partners and consumer devices. Skilled in Python, C/C++, Linux, and Windows kernel-level debugging, Gavin bridges hardware-software gaps from RTOS and drivers to model optimization and runtime SDKs. He has a proven track record of shrinking development cycles and improving audio quality through pragmatic engineering and tooling automation. Notably, he built benchmarking and debugging frameworks that recovered significant engineering time and were instrumental in deploying LSTM/GRU and transformer workloads on constrained devices. His background in both consumer audio product delivery and low-level system optimization makes him uniquely effective at bringing GenAI features to real-world, power- and latency-sensitive platforms.
10 years of coding experience
11 years of employment as a software developer
Master of Computer science & engineering, Network Design, Master of Computer science & engineering, Network Design at Yuan-Ze University
English, Chinese