Vivian Auduong
Naval Reactors Engineer at United States Department of the Navy
Greater Chicago Area United States
Summary
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Rockstar🎓
Top SchoolVivian Auduong is a Naval Reactors Engineer and Stanford-trained electrical and computer engineer with a decade of hands-on experience building simulation, VR, and robotics software. She has shipped production-quality C++ and backend improvements for Facebook AI’s high-profile Habitat simulator suite—refactoring sensor systems, adding per-frame profiling, and improving integrations used by embodied AI researchers worldwide. At NASA she translated historical aeronautics into an immersive VR narrative, blending software craft with attention to realism and domain expertise. Her work spans low-level performance optimization to user-facing interaction design, and she pairs technical depth with international engagement from roles like Youth Ambassador at Expo 2020. Now based in the Greater Chicago Area, she brings a rare combination of nuclear engineering responsibility and prior AI/VR system-level development to safety-critical, multidisciplinary projects.
10 years of coding experience
1 year of employment as a software developer
Whitney Young High SchoolBeijing No. 80 High SchoolMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
English, Chinese, Spanish, Chinese
Github Skills (9)
computer-vision10
c-language10
cprogramming-language10
sensor10
python10
simulator10
ai9
deep-learning8
reinforcement-learning8
Programming languages (4)
Github contributions (5)
facebookresearch/habitat-sim
Jan 2021 - Mar 2021
A flexible, high-performance 3D simulator for Embodied AI research.
Role in this project:
Backend Developer
Backend DeveloperContributions:107 reviews, 75 commits, 28 PRs in 2 months
Contributions summary:Vivian primarily worked on the core codebase, modifying and refactoring C++ sensor-related code within the Habitat-Sim project. They refactored enums, integrated a per-frame profiler to help measure performance, and decoupled sensor initialization. These changes improved the simulator's functionality, debugging capabilities, and code structure. Additionally, the user embedded RenderCamera in CameraSensor and implemented updates to VisualSensor and CameraSensor for Hierarchical SensorSpec.
roboticsembodied-aicomputer-visionsimulation3d-simulator
facebookresearch/habitat-lab
Feb 2021 - Mar 2021
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Role in this project:ML Engineer
ML EngineerContributions:6 reviews, 8 commits, 2 PRs in 28 days
Contributions summary:Vivian primarily focused on modifying and fixing existing code related to sensors and environment configurations within the Habitat-Lab repository. They made significant changes to the sensor specifications and integration with Habitat-Sim, addressing issues and improving code clarity. Their contributions also include refactoring and adapting example code, especially tutorials for compatibility with updates from the habitat-sim library.
pythonembodied-aideep-reinforcement-learningsimulatorai-agents
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