Jing Dong

Member Of Technical Staff at Stealth Startup

San Jose, California, United States
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Summary

👤
Senior
🎓
Top School
Jing Dong is a Member of Technical Staff with 12 years of experience specializing in computer vision, SLAM, 3D reconstruction, and motion planning, currently based in San Jose. He has led mapping and localization efforts across industry research and product teams at Zoox and Meta, contributing technologies shipped on VR headsets and in autonomous vehicle HD mapping. His background blends deep academic training (Ph.D. from Georgia Tech) with hands-on robotics work from internships at Microsoft, iRobot, and multi-robot systems at Carnegie Mellon. Jing also contributes to widely used open-source robotics tooling, modernizing example code in the popular GTSAM library, reflecting attention to long-term code health and developer experience. Known for bridging research and production, he combines algorithmic rigor with pragmatic system engineering in robotics and AR/VR contexts.
code12 years of coding experience
job12 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Georgia Institute of Technology
bookBachelor’s Degree, Engineering Mechanics and Aerospace Engineering, Bachelor’s Degree, Engineering Mechanics and Aerospace Engineering at Tsinghua University
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Github Skills (8)

c-language10
refactoring10
gtsam10
cprogramming-language10
linear-algebra10
refactor10
robotics9
computer-vision9

Programming languages (3)

C++CJupyter Notebook

Github contributions (5)

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borglab/gtsam

Sep 2016 - Dec 2018

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Role in this project:
userBack-end Developer
Contributions:18 commits in 2 years 2 months
Contributions summary:Jing's commits primarily involve modifying example code within the GTSAM library to refactor and update functions using the `Vec()` function, replacing the deprecated `Vector_()` function. This suggests a focus on code modernization and library maintenance. The changes are applied across numerous example files, indicating a broad impact on the codebase and its usability for developers and users of GTSAM. These updates appear to improve the consistency of the codebase.
cppgtsamroboticsestimationperception
dongjing3309/minisam

Jun 2019 - Dec 2020

A general and flexible factor graph non-linear least square optimization framework
Contributions:10 commits, 1 PR, 3 pushes in 1 year 6 months
graphroboticsleast-squaresfactor-graphoptimization
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