Hongzhen Liu is a director-level engineer with 8+ years building high-performance AI infrastructure, compiler stacks, and heterogeneous computing libraries for LLMs, VLMs, autonomous driving, and recommendation systems. He has led teams at Zebra Network and Ant Group and drove Intel’s deep learning performance efforts—initiating Intel’s DL performance team and co-creating IPEX while delivering MLPerf results and production-grade DNN libraries. His work blends systems-level optimization (cache locality, data-level concurrency) with practical product impact—saving ~30M RMB/year at Alipay through a custom DL optimization framework. Comfortable across CPU/GPU/VDSP/CDSP targets, he designs both frameworks and low-level kernels, and often bridges research ideas into deployable inference and training infrastructure. Based in Pudong, Shanghai, he pairs a master’s in pattern recognition with a knack for turning compiler and scheduling innovations into measurable business savings.
8 years of coding experience
7 years of employment as a software developer
Master, Pattern Recognition and Intelligent System, Master, Pattern Recognition and Intelligent System at Southeast University
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Hongzhen Liu - Director & Senior Staff Engineer at 斑马网络技术有限公司