Fei Wen
Staff AI System Engineer at Samsung Semiconductor
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolFei Wen is a Staff AI System Engineer with 15 years of experience building high-performance AI chips and GPU-accelerated systems. He combines deep expertise in deep learning (RNN/LSTM, sparsity, speech/NLP), ASIC/FPGA design, and system-level memory management from a PhD at Texas A&M to optimize ML workloads end-to-end. After leading ML and ASIC efforts at Qualcomm, he now focuses on accelerating AI inference and hardware-software co-design at Samsung Semiconductor. His background spans research-driven projects—FPGA-based peripheral memory managers and exascale interconnect simulation—to hands-on network integration early in his career, giving him a rare full-stack hardware-software perspective. Based in San Diego, he also explores GPU and crypto-related tooling on GitHub, signaling a practical interest in performance and security trade-offs. Colleagues rely on him to translate academic innovations into production silicon that measurably speeds real-world AI applications.
15 years of coding experience
11 years of employment as a software developer
The Affiliated High School of South China Normal UniversityDoctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Texas A&M UniversityBachelor of Engineering - BE Information Engineering, Bachelor of Engineering - BE Information Engineering at South China University of Technology
Github Skills (40)
python10
data-science10
machine-learning10
pytorch-lightning10
temporal-data10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
gpu10
neural-network10
pytorch9
numpy9
mixture-of-experts9
acceleration9
Programming languages (4)
Github contributions (5)
azazhu/tensorflow
May 2021 - Jul 2021
An Open Source Machine Learning Framework for Everyone
Contributions:84 pushes, 14 branches in 2 months
pythondata-sciencedeep-learningmachine-learningframework-learning
azazhu/pytorch
Nov 2022 - Nov 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:13 pushes, 7 branches in 6 days
pythongpu-accelerationdeep-learninggpuacceleration
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