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I’m an AI & Unity developer specializing in real-time interactive systems that combine machine learning, computer vision, and immersive 2D/3D experiences. My work focuses on building practical, production-ready prototypes that connect AI models with Unity-based applications.
I have hands-on experience developing emotion recognition systems (vision & audio) using PyTorch, TensorFlow, and ONNX, and integrating them into Unity (Live2D, VR, AR, MR) environments. I’ve led multiple team projects as a technical lead, handling everything from model training and backend APIs (FastAPI, Flask, WebSocket) to real-time client-side integration.
Key areas I work in:
- AI emotion recognition & computer vision (OpenCV, MediaPipe, TorchAudio)
- Unity 2D/3D, Live2D, AR/VR/MR interaction systems
- Real-time pipelines (WebSocket streaming, ONNX runtime)
- Rapid prototyping for demos, exhibitions, and startups
I’ve presented large-scale interactive systems at university exhibitions, collaborated on metaverse and AR projects, and completed freelance 3D/visual work for academic competitions. I value clear communication, technical accuracy, and delivering systems that actually run in real time, not just on paper.
If you need someone who can bridge AI models and interactive Unity applications, I can take a project from concept to working prototype.
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- Built a Mixed Reality concert system in Unity, integrating real-time
VTuber performances with interactive 3D stage environments
blending virtual and physical elements. - Adapted key features from ANYCOLOR × stu MR architecture into a
functional Unity prototype.
- Developed an AR interior design app in Unity for iOS using AR
Foundation and ARKit/ARCore for realistic furniture placement. - Implemented plane detection, object anchorings, and intuitive
manipulation (move, rotate, scale). - Created a scroll-view UI for selecting and placing 3D furniture assets.
- Integrated conversational AI models into Unity for real-time
interactive dialogue. - Designed a multiplayer maze game prototype showcasing AI-driven
interaction. - Led monthly peer workshops to support collaborative development
and knowledge sharing.
- Integrated OpenAI Whisper and pyannote.audio for real-time speech and speaker recognition.
- Built a FastAPI backend with WebSocket streaming for live, color-coded captions.
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