Zitong Zhan
Applied Scientist Intern at Amazon
Buffalo, New York, United States
Summary
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Rockstar🎓
Top SchoolZitong 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.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University at BuffaloMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois Urbana-Champaign
Github Skills (67)
python10
deep-learning10
gpu10
computer-graphics10
gpu-acceleration10
optimization10
robotics10
kalman-filter10
numpy10
neural-network10
tensor10
autonomous-robots10
physics10
autograd10
geometric-deep-learning10
Programming languages (8)
Github contributions (5)
pypose/bae
Sep 2025 - Jul 2026
[T-RO 2026] Bundle Adjustment in the Eager Mode
Contributions:2 releases, 3 reviews, 3 PRs in 9 months
zitongzhan/pypose
Mar 2023 - Apr 2026
To connect classic robotics with modern learning methods seamlessly.
Contributions:40 pushes, 14 branches in 3 years 1 month
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