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From LLM Inference to Agentic Workloads: Characterization and Implications for Serving Systems
arXiv:2608.15127 · 2026
Ph.D. Researcher · Computer Systems
Building systems for efficient, reliable agentic workloads and large language model serving.
Department of Computer Science and Engineering, HKUST

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I build systems for efficient, reliable agentic workloads and large language model serving. My current work spans serving systems, sandboxing and checkpoint/restore, inference pipelines, and the systems foundations needed to run AI applications at scale.
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arXiv:2608.15127 · 2026
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In submission · 2026
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Intern
Intern
Software Engineering Intern
Research Intern
Ph.D. in Computer Science and Engineering
M.Phil. in Computer Science and Engineering
B.S. in Computer Science and Technology, Elite Class
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