Ziming Mao

Student Researcher at University of California, Berkeley

New Haven, Connecticut, United States
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Summary

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Rockstar
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Ziming Mao is a PhD student and researcher at UC Berkeley specializing in distributed systems and cloud-native infrastructure, with about six years of experience spanning academic research and industry internships. He has worked on memory disaggregation, distributed caching, and serving/training on spot instances under advisors like Ion Stoica and Scott Shenker, and interned at Databricks. Ziming contributes to production-focused open source—most notably backend and spot-instance reliability features for SkyPilot, helping optimize GPU availability and rolling updates across multi-cloud environments. Comfortable bridging research and engineering, he combines rigorous CS training from Yale with hands-on DevOps and backend work to move prototypes toward resilient, cost-efficient deployments. An aside that’s not obvious: his background spans both NLP research and systems work, giving him a rare cross-disciplinary perspective on scalable ML systems.
code6 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Berkeley
bookBachelor's degree, Computer Science (B.S.) and Philosophy (B.A.), Bachelor's degree, Computer Science (B.S.) and Philosophy (B.A.) at Yale University
bookHigh School Diploma, Science and Math Talent Program, High School Diploma, Science and Math Talent Program at Hwa Chong Institution
languagesChinese, English
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Stackoverflow

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Github Skills (18)

cloud-manager10
python10
cloud-computing10
spot-instances10
cost-optimization10
manage10
management10
gatsbyjs10
job-scheduling10
kubernetes9
kubernetes-pods9
devops9
cost-management9
job-queue8
data-science7

Programming languages (13)

C#C++CSSCRustHTMLJupyter NotebookCuda

Github contributions (5)

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skypilot-org/skypilot

May 2023 - May 2025

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Role in this project:
userBackend & DevOps Engineer
Contributions:431 reviews, 56 PRs, 522 pushes in 1 year 11 months
Contributions summary:Ziming primarily contributed to the backend of the SkyPilot project, focusing on the "Spot" functionality for managing and optimizing cloud resources. Their work involved adding features like event callbacks for notifications and implementing a spot dashboard with delays for initialization. Furthermore, the user contributed to improving the system's reliability by adding code for automatic recovery and implementing a rolling update feature. They also worked on supporting multiple resources.
aisupercomputercloud-computingdeep-learninggpu
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:476 pushes in 4 years 1 month
templategithub-pages-templatemmistakesmistakesjekyll
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