Fangxuan Sun is a Senior Engineer with 10 years' experience specializing in VLSI/FPGA optimization and deployment of deep learning models, currently driving model optimization and deployment for Kirin at Huawei. With a strong academic foundation from Nanjing University (BS and MS in ESE) and prior research experience at Tencent, he bridges hardware-aware algorithm design and production ML deployment. Fangxuan focuses on squeezing performance and efficiency out of silicon—translating model-level techniques into FPGA/VLI optimization—and has hands-on experience across the full ML deployment stack. Based in Nanjing, he combines deep hardware expertise with practical software engineering to accelerate edge AI, often working on low-level optimizations that are easy to overlook in higher-level ML workflows.
10 years of coding experience
Master's degree, ESE, Master's degree, ESE at 南京大学
Contributions:11 commits, 8 pushes, 1 branch in 1 month
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