Kaiyuan Chen
Student
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKaiyuan Chen is a pragmatic Computer Science Ph.D. student at UC Berkeley with nine years of hands-on experience building wireless systems, scalable backend services, and DevOps tooling. He has a track record of turning research into production impact—from improving Wi‑Fi multicast throughput by orders of magnitude in UCLA projects to reducing LTE latency and boosting model accuracy as a founding engineer at MobIQ. At Berkeley he focuses on modern network architectures, wireless channels, and system design with a bias toward removing theoretical constraints to deliver measurable results. He has industry research internships at VMware and Bosch and contributes to prominent open-source infrastructure like SkyPilot, improving job management, dashboards, and reliability across multi‑cloud AI workloads. Comfortable presenting to leadership, he pairs strong metric-driven intuition with cross-disciplinary collaboration across networking, ML, and systems. Notably, he blends deep research rigor with product-minded engineering, moving prototypes toward deployable pipelines.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of California, BerkeleyBachelor of Science - BS, Computer Science, GPA 3.96/4.0, Bachelor of Science - BS, Computer Science, GPA 3.96/4.0 at University of California, Los Angeles
Github Skills (14)
systemd10
job-queue10
python10
job-scheduler10
api-design9
restful-api9
flask9
flask-ask9
cloud-computing9
cloud-manager9
rest-api9
api-rest9
bash8
cicd8
Programming languages (7)
Github contributions (5)
skypilot-org/skypilot
Mar 2023 - Apr 2025
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
Role in this project:
DevOps & Backend Engineer
DevOps & Backend EngineerContributions:22 reviews, 31 PRs, 12 pushes in 2 years
Contributions summary:Kaiyuan contributed to the SkyPilot project by implementing and refactoring features related to job management and the dashboard. Their work included modifying systemd service configurations, adding Flask as a dependency, and enabling log download functionality. They also worked on enhancing the user experience by improving dashboard layout, adding UI elements, and fixing formatting. Furthermore, the user made enhancements for managed jobs, including support for syncing down execution logs, improving reliability of test by ensuring job status, and removing dependency of getting job status.
pythonspot-instancesserverlesstpuml-infrastructure
KeplerC/fogros2-ls
Jun 2023 - Jun 2024
Contributions:4 PRs, 95 pushes, 4 branches in 1 year
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