Yiming Zhang is a software engineer with a decade of experience building large-scale systems at Google from Mountain View. He has worked across Search Ads quality, user profiling and recommendation systems, and currently focuses on Core ML inference—bridging ML models and production serving. Trained in electrical and computer engineering at Carnegie Mellon and Beihang University, he brings strong foundations in systems and ML engineering. Colleagues would describe him as someone who moves models to real-world impact, optimizing both algorithmic accuracy and runtime efficiency. Despite a primarily internal-facing profile, his cross-functional work on ads relevance and ML inference implies deep experience shipping low-latency, high-throughput systems at scale.
10 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Electrical and Computer Engineering, Bachelor's Degree, Electrical and Computer Engineering at Beihang University
Master's Degree, Electrical and Computer Engineering, Master's Degree, Electrical and Computer Engineering at Carnegie Mellon University
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