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AllClip - Computer Vision Engineer
Research and development of AI models that power capture, editing, and sharing in AI sports cameras.
Building the technical foundation to maximize the value of sports video through player tracking, event detection, and more.
We won 3rd place worldwide in the "Spiideo SoccerNet SynLoc 2026 Challenge" competition at CVPR 2026, the world’s largest international conference in the field of computer vision.
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Long-term Thesis
Football Foundation Model
By integrating multiple modalities — visual, language, and numerical data
— I aim to build a football foundation model that can extract tactical meaning from games and answer diverse football-related questions.
Leveraging this model, my vision is to create value in every aspect of football
— playing, watching, and supporting — by empowering team decision-making,
enhancing player reflection, and transforming the viewing experience.