Summary
Yiran Zhao is a Staff Machine Learning Engineer based in San Diego with 11 years of experience building production-grade ML serving and feature infrastructures that prioritize reliability, scalability, and developer velocity. He has led and shipped end-to-end model deployment and optimization work—bringing PyTorch CUDAGraph, mixed precision, TensorRT, dynamic batching, and automated canary analysis into large ad and ranking systems to materially cut latency and boost throughput. His background blends deep academic research (PhD-level work in ML, IoT, and distributed systems) with hands-on engineering at large-scale consumer platforms like Pinterest and Reddit, where he also redesigned feature formats and online-offline consistency tooling. Notably, he combines systems-level optimizations (GPU pinned memory arenas, smart autoscaling, CICD for safety) with product-aware feature engineering frameworks, making complex ML stacks easier to operate and evolve.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Illinois Urbana-Champaign
Bachelor’s Degree EE, Bachelor’s Degree EE at Shanghai Jiao Tong University
English, Chinese