Kelly Guo
Engineering Manager at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolKelly Guo is an engineering manager at NVIDIA with 10 years of experience building and shipping deep learning and simulation software. She progressed from multiple intern and engineering roles into management, leading teams that bridge research-grade ML environments and production software. Her hands-on background includes contributions to Omniverse Isaac Gym reinforcement learning environments—tuning simulations, fixing robotics configuration bugs, and integrating experiment tracking with WandB. Based in California, she combines systems-level engineering experience with applied ML expertise in robotics and autonomous vehicle prediction. Colleagues know her for pragmatic problem-solving that moves research prototypes toward reliable, reproducible experiments and deployments. She earned a Software Engineering degree from the University of Waterloo and brings a steady mix of technical depth and team leadership.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Software Engineering Computer Software Engineering, Bachelor of Software Engineering Computer Software Engineering at University of Waterloo
English
Github Skills (7)
pytorch10
machine-learning10
python10
reinforcement-learning10
robotics9
configuration-management9
wandb8
Programming languages (3)
Github contributions (5)
isaac-sim/OmniIsaacGymEnvs
Jun 2022 - Dec 2022
Reinforcement Learning Environments for Omniverse Isaac Gym
Role in this project:
ML Engineer
ML EngineerContributions:64 commits, 1 PR, 7 pushes in 6 months
Contributions summary:Kelly primarily contributed to the reinforcement learning environments within the repository, specifically for the Omniverse Isaac Gym platform. Their work included modifying and configuring simulation parameters, such as device IDs and headless mode settings. The user also addressed issues with various robot and environment configurations, fixed bugs related to episode length resets, and integrated logging and WandB support for experiment tracking.
reinforcement-learningdeep-reinforcement-learningisaacomniversereinforcement-learning-environments
kellyguo11/IsaacLab-public
Jun 2024 - Mar 2025
Unified framework for robot learning built on NVIDIA Isaac Sim
Contributions:144 pushes, 67 branches in 9 months
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