Koki Ibukuro

Motion Designer at Whatever Co.

Berlin, Germany
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Summary

👤
Senior
🎓
Top School
Koki Ibukuro is a Berlin-based Motion Designer and Creative Technologist with 14+ years building immersive experiences in Unity across AR, XR, IoT, and interactive installations. He blends a fine-arts background (Master in Design, Tokyo) with pragmatic engineering, ensuring high-fidelity visuals run on constrained hardware from mobile AR to Meta Quest and smart speakers. His freelance and agency work has earned international recognition—including Cannes Lions and SXSW—and spans product releases, digital signage, and mixed-reality concerts. Technically, he contributes to open-source ML-in-Unity efforts, integrating TensorFlow Lite examples and compute shaders for object detection, segmentation, and pose estimation. Known for turning limitations into creative opportunities, he thrives on ambitious, cross-disciplinary projects that marry aesthetics with performant systems. Always open to collaboration, he brings both award-winning creative direction and hands-on implementation to every project.
code14 years of coding experience
job7 years of employment as a software developer
bookMaster, Design, Master, Design at Tokyo National University of Fine Arts and Music
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Stackoverflow

Stats
1reputation
0reached
0answers
0questions
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Github Skills (9)

machine-learning10
tensorflow-lite10
compute-shader10
unity3d10
computer-vision9
object-detection9
image-segmentation8
pose-estimation8
segmentation8

Programming languages (11)

C#TypeScriptC++CObjective-C++JavaScriptShaderLabVue

Github contributions (5)

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asus4/tf-lite-unity-sample

Nov 2019 - Jan 2023

TensorFlow Lite Samples on Unity
Role in this project:
userML Engineer
Contributions:16 releases, 1 review, 884 commits in 3 years 2 months
Contributions summary:Koki's commits focus on integrating TensorFlow Lite samples into a Unity environment. The user added and integrated TensorFlow Lite plugins and implemented samples for various machine learning models, including object detection (SSD), image segmentation (DeepLab), and pose estimation (BlazePose). Their contributions involved adding scene implementations and compute shaders to enable and improve machine learning models within the Unity framework.
edgetpumachine-learningtensorflow-litemediapipeunity
asus4/tensorflow

Nov 2019 - Oct 2022

An Open Source Machine Learning Framework for Everyone
Contributions:73 pushes, 51 branches, 1 tag in 2 years 11 months
pythondata-sciencedeep-learningmachine-learningframework-learning
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