Summary
Jiayu Ye is a software engineer with a decade of experience building high-throughput, production-grade systems and applied ML research. Currently at Google, Jiayu has designed global cluster-level load balancers handling 100k+ requests per second and improved affinity using bounded-load consistent hashing. His background blends deep learning research—implementing second-order optimization variants and adapting detectors like R-CNN for tracking—with systems engineering, including benchmarking algorithms with realistic production traffic. Educated at Shanghai Jiao Tong, University of Michigan, and UC Berkeley (MS EECS), he moves fluidly between CUDA/C++ performance work and Python/Matlab ML prototyping. Notably, he has a track record of doubling frame-processing speed in vision pipelines by replacing legacy CV code with deep learning implementations. Based in Atlanta, he combines rigorous academic training with proven large-scale engineering impact.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of Michigan
Bachelor of Science (BS), Computer & Electrical Engineering, Bachelor of Science (BS), Computer & Electrical Engineering at Shanghai Jiao Tong University
Chinese, English