Zitong Zhan

Buffalo, New York, United States
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Summary

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Zitong Zhan is a research-driven 3D vision and optimization engineer with nine years of experience focusing on high-performance 3D perception and robotics systems. Currently pursuing a PhD in Computer Science at the University at Buffalo after earning an MS from UIUC, Zitong combines deep academic training with practical contributions to PyTorch and robotics tooling. Their work emphasizes scalable, performance-oriented implementations that bridge research prototypes and production-ready pipelines, informed by an Applied Scientist internship at Amazon. Based in Buffalo, NY, they bring a blend of algorithmic rigor and systems engineering, often optimizing low-level computation for real-world 3D tasks. Notably, Zitong’s profile reflects both strong open-source engagement and a knack for turning complex optimization ideas into efficient code.
code9 years of coding experience
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University at Buffalo
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois Urbana-Champaign
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Github Skills (74)

python10
deep-learning10
computer-graphics10
gpu10
gpu-acceleration10
ros10
optimization10
robotics10
acceleration10
kalman-filter10
numpy10
neural-network10
tensor10
autonomous-robots10
tensorflow10

Programming languages (6)

TypeScriptC++SCSSJupyter NotebookRich Text FormatPython

Github contributions (5)

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zitongzhan/pypose

Mar 2023 - Oct 2023

To connect classic robotics with modern learning methods seamlessly.
Contributions:36 pushes, 11 branches in 7 months
hxu296/pypose

Jun 2023 - Dec 2023

A library for differentiable robotics.
Contributions:5 pushes in 6 months
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