Giulio Zhou
Senior Research Engineer at Google DeepMind
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolGiulio Zhou is a Senior Research Engineer in San Francisco with 11 years of experience bridging cutting-edge AI research and production-grade engineering. He holds a PhD in Computer Science from Carnegie Mellon and has held research and engineering roles at Google, Anthropic, and now Google DeepMind, combining rigorous academic training with hands-on system building. His open-source contributions include backend work on ucbrise/clipper, where he implemented REST APIs, async request handling, and JSON integration for a low-latency prediction-serving system—evidence of his expertise in scalable inference infrastructure. Comfortable across research-driven model work and low-level service design, he repeatedly moves prototypes into reliable, maintainable systems. Colleagues describe him as the kind of engineer who pairs deep theoretical insight with pragmatic engineering choices that uncover hidden operational trade-offs.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of California, BerkeleyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Carnegie Mellon University
Chinese, Spanish
Github Skills (8)
asynchronous10
rest-api10
c-language10
cprogramming-language10
boost10
async10
rapidjson9
json9
Programming languages (3)
Github contributions (5)
ucbrise/clipper
Nov 2016 - Apr 2017
A low-latency prediction-serving system
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 2 PRs, 2 branches in 5 months
Contributions summary:Giulio implemented a REST API for the Clipper prediction-serving system, focusing on the integration of the REST interface with the Clipper QueryProcessor. This involved parsing input data, handling requests, and integrating with boost continuation and futures for asynchronous operations. Further contributions included cleaning up dependencies, updating the Boost version, and adding functionality like endpoint additions, showcasing a focus on backend service development and API design within the Clipper framework. The user also worked on integrating rapidjson library for JSON serialization and deserialization.
pythonservingpredictiondeep-learninglatency
giulio-zhou/train-mnist-in-few-lines
Apr 2019 - Oct 2023
Contributions:17 pushes, 2 branches in 4 years 7 months
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