Xiaoqiang Zheng is an entrepreneur and seasoned engineering leader with ten years of postdoctoral industry experience and a long track record designing high-performance systems across GPU architecture and machine learning frameworks. He held principal engineering roles at NVIDIA, Google (Senior Staff on TensorFlow), and Facebook (leading PyTorch work at a director/principal level), combining deep systems expertise with ML infrastructure and developer-facing tooling. His open-source contributions include full‑stack enhancements to TensorFlow's TensorBoard visualization—adding series grouping and UI controls—demonstrating a focus on making complex models and graphs more interpretable for practitioners. Based in California and holding a Ph.D. in Computer Graphics from UC Santa Cruz and a B.S. from Tsinghua, he now channels that technical depth into a stealth-mode startup, blending research-grade rigor with product-driven execution.
10 years of coding experience
16 years of employment as a software developer
University of California Santa Cruz
B.S Computer Science, B.S Computer Science at Tsinghua University
Contributions summary:Xiaoqiang primarily contributed to the TensorBoard visualization toolkit by implementing new features and modifying existing ones. They added functionality for series grouping within the graph visualization, including options to group or ungroup nodes. They also made improvements to the user interface by adding buttons and context menus to control node series grouping. Further contributions involved enhancing the tf-graph-info component with toggle controls for extracting nodes from the main graph and series grouping.
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Xiaoqiang Zheng - Entrepreneur at Stealth mode startup