Jasmine H is a software engineer with 11 years of experience at the intersection of deep learning, robotics, and simulation, currently contributing to Google DeepMind’s AI and robotics efforts. She blends research rigor with practical engineering, having extended the pybullet Python bindings to add camera rendering, joint state access, and URDF loading for the widely used Bullet Physics SDK. Earlier work at Aptima focused on human-centered modeling and simulation for defense and aerospace, reflecting strong systems thinking and domain breadth. With graduate training in computer science and an undergraduate background in cognitive science and business/engineering, she brings a rare mix of algorithmic, systems, and human-centered perspectives to robot control and perception problems. An active researcher and maker (@hellojas), she pairs open-source contributions with published scholarship to move ideas from prototype to reproducible tooling.
11 years of coding experience
4 years of employment as a software developer
Business & Engineering, Business & Engineering at Korea University
Master's Degree, Computer Science, Master's Degree, Computer Science at New York University
Bachelor's Degree, Cognitive Science, Bachelor's Degree, Cognitive Science at University of Virginia
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Role in this project:
Back-end Developer & Robotics Engineer
Contributions:20 commits, 6 PRs, 5 comments in 27 days
Contributions summary:Jasmine primarily focused on enhancing the `pybullet` Python interface for the Bullet Physics SDK. They implemented and extended functionality within the Python bindings, adding features to render images with camera control, access joint states, and load URDF models. The contributions demonstrate a strong understanding of the underlying physics simulation and its integration with a Python API. Key additions include functions to retrieve and manipulate joint information, indicating a focus on robot control and simulation.
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