About

I am Jinheng Li, an MLSys Engineer focusing on optimizing large language model serving through frameworks like vLLM. My work involves implementing cutting-edge techniques for memory management, distributed inference, and system-level optimizations.

Education

City University of Hong Kong

Master of Philosophy in Computer Science (2019 – 2022)

• GPA: 3.65 / 4.00
• Originally enrolled in Ph.D. program, transitioned to MPhil in 2021
• Supervisors: Prof. Chun Jason Xue / Prof. Tei-wei Kuo

Sichuan University

Bachelor of Engineering in Computer Science (2015 – 2019)

• GPA: 85.16 / 100.00
• Project 985 University (Top-tier Chinese university)

Research Interests

• MLSys: Optimizing machine learning systems for efficiency and scalability
• Operating Systems: Memory management and resource allocation
• Distributed Systems: Large-scale system design and optimization
• Compiler Optimization: Code generation and optimization techniques

Personal Interests

• Photography and capturing moments
• Trading and cryptocurrency markets
• Spending time with dogs
• Exploring new technologies and frameworks