Zhuoran Liu is a research scientist focused on maximizing LLM inference performance through AI infrastructure engineering, with a decade of experience spanning industry and academia. At IBM Research he builds automated full-stack benchmarking pipelines and performs hardware-level profiling (NVIDIA Nsight, PyTorch Profiler, hardware counters) to squeeze efficiency from GPUs and accelerators for large-scale generative AI. His academic work—MS from NC State and a PhD from Northeastern University (China)—bridges multi-objective optimization and practical tooling, including VS Code extensions that combine profiling data with semantic code summaries. Zhuoran’s background ranges from distributed optimization for vehicle routing to mobile game development, reflecting a rare mix of algorithmic rigor and production software craftsmanship. He is particularly skilled at translating low-level performance signals into actionable infrastructure changes that speed model iteration and reduce deployment cost. Based in Yorktown, NY, he brings hands-on systems expertise that uncovers optimization opportunities others commonly miss.
10 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at North Carolina State University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Northeastern University (CN)
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