Summary
Sam Shi is a tech lead manager and staff engineer with eight years of experience building large-scale AI and cloud infrastructure at Google in the San Francisco Bay Area. He was a founding engineer and technical lead for multiple Google Cloud ML products—Vertex AI Workbench, TensorFlow Enterprise, Cloud ML Engine, Deep Learning VM Image, and Jupyter-as-a-service—notably driving batch prediction and Kubeflow integrations. Sam also led development of Google's internal anomaly detection and image privacy pipelines for StreetView, inventing production-grade face and license-plate blurring built on Bigtable and MapReduce. His background spans performance analysis and profiling across Google, with contributions tied to an IEEE Micro paper on Google-wide profiling. Trained in electrical and computer engineering up through a Ph.D. level, he combines deep research rigor with pragmatic, product-focused execution. Colleagues describe him as a systems-minded leader who turns complex ML research and distributed systems problems into reliable, production services.
8 years of coding experience
Computer Engineering, Computer Engineering at Iowa State University
Doctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at University of Illinois at Chicago
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Shanghai Jiao Tong University