AI Infra Team Lead & Research Scientist at The Institute of Artificial Intelligence, China Telecom (TeleAI)
Shanghai, Shanghai, China
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Summary
🤩
Rockstar
🎓
Top School
Qizhen Weng is an AI infrastructure leader and research scientist with nine years’ experience building and optimizing GPU-backed ML systems for large-scale training, inference, and fine-tuning. He leads the AI Infra team at China Telecom’s TeleAI after research roles at Shanghai AI Lab and a multi-year internship at Alibaba where his scheduler and cluster-defragmentation work informed ATC and NSDI publications and publicly released cluster traces. With a PhD from HKUST, he specializes in GPU cluster management, Kubernetes-based elastic scheduling, and GPU multiplexing to boost utilization across heterogeneous workloads like LLMs, MLLMs, and DiT. He mentors PhD candidates while shipping production-focused research—an uncommon blend of academic rigor and operational impact. His projects and full publications are archived on his technical site, reflecting a consistent pattern of turning ML systems research into deployable tooling. Based in Shanghai, he combines systems-level depth with practical experience accelerating large-model training and serving at industry scale.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE Information Security, Bachelor of Engineering - BE Information Security at Shanghai Jiao Tong University
Visiting Student Big Data, Visiting Student Big Data at University of California, Berkeley
Hong Kong University of Science and Technology (HKUST)
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