Hengwen Tong
Director at 寒武纪
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolHengwen Tong is a director-level engineer based in Beijing with 6 years of focused experience in AI frameworks, compiler and runtime work, currently leading TensorFlow and PyTorch efforts at Cambricon. He brings a strong systems background from prior roles developing BSP, Linux kernel and driver stacks at Xiaomi and high-performance network processor software at FutureWei, coupling low-level performance tuning with ML infrastructure. His career spans carrier-grade and embedded platforms (PowerPC, ARM, MIPS) through to modern deep learning runtimes, giving him a rare full-stack perspective on hardware-accelerated AI. Practical performance engineering is a theme—he has hands-on experience with DPDK, VTune and processor verification that informs efficient model deployment. Colleagues would note he prefers direct technical ownership (and politely declines headhunters, per his profile). Trained as an EE at Beijing Institute of Technology, he blends hardware-aware software design with production ML framework delivery.
6 years of coding experience
11 years of employment as a software developer
BS, EE, BS, EE at Beijing Institute of Technology
English, Chinese
Github Skills (94)
transformers10
language-model10
python10
diffusion-models10
flax10
deep-learning10
image-generation10
gpu10
gpu-acceleration10
acceleration10
ml10
numpy10
audio10
camera10
neural-network10
Programming languages (9)
Github contributions (5)
kevint324/tensorflow
Apr 2021 - Feb 2024
An Open Source Machine Learning Framework for Everyone
Contributions:7 pushes, 1 branch in 2 years 10 months
pythondata-sciencedeep-learningmlmachine-learning
kevint324/pytorch
Aug 2023 - Jun 2024
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:8 pushes, 6 branches in 9 months
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