Kai Xu is a Senior Deep Learning Algorithm Engineer with 7 years of experience specializing in model acceleration and efficient deployment of large-scale GenAI and computer vision systems. Based in California, he led core algorithm development at OmniML (acquired by NVIDIA) and now optimizes LLMs and MLPerf benchmark deployments at NVIDIA to cut computational cost without sacrificing accuracy. His background spans automatic model compression frameworks for CV/NLP, real-time 3D hand pose tracking for AR, and published research on frequency-domain preprocessing and lipreading, reflecting a blend of practical engineering and academic rigor. Known for turning research prototypes into production-ready tooling, he focuses on automated pipelines that make high-performance models feasible across diverse hardware.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at Arizona State University
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Shandong University
Master's degree Circuits and Systems, Master's degree Circuits and Systems at University of Electronic Science and Technology of China
The source for REST API specifications for Microsoft Azure.
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Kai Xu - Senior Deep Learning Algorithm Engineer at NVIDIA