Yufeng聽Shi
Software Engineer at Arm
Cambridge, England, United Kingdom
Summary
馃ぉ
Rockstar馃帗
Top SchoolYufeng Shi is a software engineer based in Cambridge, UK, with a focused year of industry experience across Arm鈥檚 AI Frameworks & ML Compiler, computer vision, and compiler teams. He brings practical expertise in PyTorch, ML quantization, GPU/NPU acceleration, ARM intrinsics and vectorization, having worked on projects from LLM-focused compiler tooling to SIMD-optimized vision libraries. His academic background is strong and interdisciplinary鈥攄istinction-level masters in Medical Robotics & Image-Guided Intervention (Imperial College) and Advanced Computer Science (Manchester)鈥攚hich informs a methodical approach to performance-sensitive systems. At Arm he has moved between memory-system performance modeling, GCC/LLVM-style compiler work, and ML compiler stacks, demonstrating quick domain switching and low-level systems fluency. Colleagues would note his knack for bridging research-grade algorithms with production-aware optimizations on ARM architectures. He is early in his career but already combines deep hardware-aware engineering with applied ML tooling, positioning him to accelerate model deployment on edge and accelerator targets.
1 year of coding experience
Master of Science - MS, Advanced Computer Science, Distinction, Master of Science - MS, Advanced Computer Science, Distinction at The University of ManchesterMaster's degree, Medical Robotics and Image-Guided Intervention, Distinction, Master's degree, Medical Robotics and Image-Guided Intervention, Distinction at Imperial College LondonBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Beihang University
Github Skills (7)
embedded10
gpu9
machine-learning9
deep-learning9
mobile8
neural-network8
tensor7
Programming languages (1)
Github contributions (3)
YufengShi-dudu/executorch
Feb 2025 - Mar 2025
On-device AI across mobile, embedded and edge for PyTorch
Contributions:13 pushes, 8 branches in 1 month
mansnils/executorch
Mar 2025 - Mar 2025
On-device AI across mobile, embedded and edge for PyTorch
Contributions:1 push in 1 day
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