Cherry Zhang
Pudong, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolCherry Zhang is a seasoned software architect and engineering leader based in Pudong, Shanghai, with nearly two decades of experience in software design and nine years in senior roles across automotive and tech firms. She has driven intelligent connected vehicle research at General Motors and built core systems at Continental and Mitac, translating complex distributed systems requirements into production-ready solutions. At Magik Technology she now combines operational leadership with hands-on technical direction, bridging strategy and delivery. An active open-source contributor to PyTorch, Cherry implemented distributed-training enhancements and added Intel XPU backend support—work that underscores her expertise in scalable, device-agnostic ML infrastructure. Colleagues know her for pragmatic architecture decisions and the ability to bring research-grade innovations into robust engineering practice.
9 years of coding experience
19 years of employment as a software developer
Fudan University
English, French
Github Skills (10)
pytorch10
machine-learning10
distributed-training10
deep-learning10
gpu10
python10
xpu10
ccl9
tensor9
autograd7
Programming languages (5)
Github contributions (5)
pytorch/pytorch
Sep 2024 - Mar 2025
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
Back-end Developer
Back-end DeveloperContributions:37 reviews, 9 PRs, 81 comments in 6 months
Contributions summary:Cherry made several contributions related to distributed training within the PyTorch framework. These changes primarily involved modifying device-specific code to use device-agnostic APIs, particularly in the context of DDP and FSDP. They also registered a new distributed backend for Intel XPU devices, enabling support for XCCL. Furthermore, the user implemented fixes and enhancements for FSDP, including XPU support, mixed-precision improvements, and coalescing paths.
pythongpu-accelerationdeep-learninggpunumpy
zhangxiaoli73/BigDL
Jan 2017 - Jan 2020
BigDL: Distributed Deep learning Library for Apache Spark
Contributions:15 PRs, 1473 pushes, 215 branches in 3 years
bigdldeep-learningspark-mlmachine-learningapache
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