Etienne 艾天 is an HPC & AI research engineer with eight years of experience bridging deep learning systems engineering and high-performance computing across France and China. At Huawei’s Paris Research Center he optimizes ML frameworks and operators for Ascend GPUs/NPUs, co-authoring MLSys23 research on static memory allocation and developing a graph-parallel topology optimizer to cut training and inference time. His background spans backend development, hardware benchmarking on Atlas accelerators, and hands-on HPC cluster management, giving him a rare full-stack view from kernels to distributed deployment. Fluent in cross-cultural collaboration after years living and working between Europe and Asia, he focuses on practical optimizations that enable research code to run efficiently on production accelerators.
8 years of coding experience
1 year of employment as a software developer
Engineering Degree, Computer Engineering, Engineering Degree, Computer Engineering at University of Technology of Belfort-Montbéliard
2-year technical degree, Computer Science, 2-year technical degree, Computer Science at Paris-Sud University (Paris XI)
Exchange Program: International Engineer, Computer Science and Project Management, Exchange Program: International Engineer, Computer Science and Project Management at Shanghai University
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