Xin Chen is a Senior Director of Sales at Qualcomm with over a decade of cross-functional experience in business development, sales, IP licensing, and operations across mobile, compute, IoT, auto, connectivity and wearable markets. Trained as a lawyer with a master’s in intellectual property, she uniquely blends legal acumen with commercial strategy to close major deals, protect brand assets, and launch products across China and the US. She has advanced Qualcomm’s China go-to-market, led partnerships with carriers, BAT and ISVs, and driven profitable growth through coordinated cross-business programs. In parallel she contributes to open-source AI infrastructure—adding NPU operator kernels and documentation to the widely used PaddlePaddle project—demonstrating hands-on technical credibility beyond her executive role. Known for building bridges between technical teams, customers and legal stakeholders, she excels at turning complex IP and product challenges into scalable commercial outcomes.
6 years of coding experience
12 years of employment as a software developer
Master, IPR of Civil Law, Master, IPR of Civil Law at China University of Political Science and Law
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Role in this project:
Back-end Developer & ML Engineer
Contributions:188 reviews, 134 commits, 280 PRs in 1 year 1 month
Contributions summary:Xin primarily contributed to the development of NPU (Neural Processing Unit) kernels for the PaddlePaddle framework. Their work involved implementing NPU support for the `assign_value` and `pad3d` operators, which included writing the kernel code and adding corresponding unit tests. Furthermore, the user enhanced the framework by adding support and tests for padding functionality, fixing issues, and integrating the changes into the existing codebase.
Contributions:60 reviews, 25 commits, 40 PRs in 1 year
Contributions summary:Xin primarily focused on enhancing the documentation for the PaddlePaddle framework. Their contributions include fixing examples, updating API documentation, adding guides for new features, and refining existing documentation sections. The user's work involved correcting code snippets, clarifying explanations, and improving the overall clarity and structure of the documentation to aid developers. The user also added and improved documentation for the optimizer components.
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