Keting Chen
Doctoral Researcher at Cornell University
City of Ithaca, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolKeting Chen is a doctoral researcher in computer science at Cornell University with four years of hands-on experience in systems research and engineering, particularly around GPU performance, cloud-scale Python package optimization, and load balancing. Her work at University of Wisconsin–Madison produced ZTree, a system that sped Python imports by 430% for serverless requests and improved throughput while cutting memory usage, and she has measured real-world GPU variance and scheduling effects on HPC clusters. She has interned twice at NVIDIA focusing on silicon solutions and has built production components ranging from Nginx API proxies to DPDK benchmarks and array-API-compliant backends for Ivy. Based in Ithaca, NY, Keting blends rigorous academic research with practical deployments, often turning performance insights into scalable systems. An under-the-radar strength is her ability to bridge low-level performance profiling with high-level scaling policies, making research directly actionable for cloud and accelerator environments.
4 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Data Science, Bachelor of Science - BS, Computer Science, Data Science at University of Wisconsin-MadisonDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Cornell University
English, Chinese
Github Skills (20)
translation10
converter10
serverless10
ivy9
pytorch9
python9
distributed-systems9
abstraction9
serverless-architectures9
microservices9
deep-learning8
tensorflow8
machine-learning8
neural-network7
numpy7
Programming languages (3)
Github contributions (5)
keting-ai/myUDP
Dec 2022 - Nov 2023
Contributions:4 pushes in 11 months
keting-ai/NFS
Dec 2022 - Dec 2022
CS537 project 4
Contributions:10 PRs, 15 pushes, 2 branches in 8 days
project-4
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