Richard Yee
Visual Designer III at Google
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRichard Yee is a Visual Designer III and creative developer with a decade of experience blending design, motion, and front-end engineering to build interactive web experiences at Google and leading agencies. He specializes in motion tracking, WebGL/Three.js integrations, and real-time avatar animation—authoring and contributing to projects like Kalidokit that bridge Mediapipe/TensorFlow.js with VRM and Live2D pipelines. Based in Mountain View, he pairs a BFA in Graphic Design from The Cooper Union with practical UX engineering experience to translate complex tracking data into polished, usable interfaces. Known for shipping both brand-driven motion work and technical demos, he brings a rare mix of aesthetic rigor and hands-on code craftsmanship, and is an active Vtuber enthusiast applying consumer-facing research to creative tooling.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Fine Arts - BFA, Graphic Design, Bachelor of Fine Arts - BFA, Graphic Design at The Cooper Union for the Advancement of Science and Art
Github Skills (5)
threejs10
javascript10
vms9
face-detection8
pose-estimation8
Programming languages (6)
Github contributions (5)
yeemachine/kalidokit
Oct 2021 - Feb 2022
Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:5 reviews, 137 commits, 16 PRs in 4 months
Contributions summary:Richard primarily contributed to the front-end development of the project, as evidenced by the numerous commits modifying JavaScript files and the focus on UI elements, VRM model integration, and the Live2D demo. They made changes to the UI by adding a section to the layout and updating the styling, and implemented features to animate and control character models. Their work involved integrating the Kalidokit library with the Three.js and Mediapipe libraries for face and body tracking.
tensorflowjshand-detectionhuman-computer-interactionface-trackingeye-tracking
yeemachine/kalidoface-live2d-models
Jan 2021 - Feb 2021
Contributions:59 commits, 54 pushes, 1 comment in 1 month
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