Summary
Ziyi X is a software engineer with nine years of experience building large-scale ML-driven systems, currently working on applied machine learning for Google Search after helping automate GPU/TPU datacenter recovery in Google Cloud. With a PhD in Computational Mathematics and a dual BE/BS from USTC, they bridge high-performance computing, seismic waveform research, and production ML engineering. Past roles include contributions to AR feature pipelines at Meta Reality Labs and research on deep-learning seismic detection at Michigan State, reflecting a blend of applied research and production software. Proficient in Python, C++, Go, Julia and familiar with CUDA and Rust, Ziyi specializes in reducing MTTR for critical ML infrastructure and making complex systems self-healing. An interesting thread across their work is using rigorous numerical and HPC techniques from geophysics to inform robust, scalable ML infrastructure.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science (Dual), Bachelor of Engineering - BE, Computer Science (Dual) at University of Science and Technology of China
Doctor of Philosophy - PhD, Computational Mathematics, Science and Engineering, Doctor of Philosophy - PhD, Computational Mathematics, Science and Engineering at Michigan State University