Dreaming Hz is an AI Compute DevTech Engineer with a decade of experience accelerating large-scale recommender systems using CUDA, TensorRT and efficient parallel data structures. Currently at NVIDIA in Shanghai, he focuses on reading and writing high-performance data structures to boost RecSys throughput and cost-efficiency, building on prior roles accelerating a major industry recommender at Kuaishou. With an M.Sc. from Georgia Tech and roots in software engineering, he blends rigorous math/physics curiosity with pragmatic systems work—often prototyping GPU solutions end-to-end. A self-described "time tourist" on GitHub, he toys at the intersection of Python and CUDA, bringing deep low-level optimization skills and a knack for translating research into production wins.
10 years of coding experience
3 years of employment as a software developer
M.Eng. of Computer Science, Computer Science and Technology, M.Eng. of Computer Science, Computer Science and Technology at 北京理工大学
M.Sc. of Computer Science, Machine Learning Specialization, M.Sc. of Computer Science, Machine Learning Specialization at Georgia Institute of Technology
Bachelor of Engineering, Software Engineering, Bachelor of Engineering, Software Engineering at 西北工业大学
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
Contributions:19 commits, 26 pushes, 3 branches in 1 year 2 months
pytorchrecommender-systemsasrecsequential-models
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Dreaming Hz - AI Compute DevTech Engineer at NVIDIA