Summary
Shi Gengtian is a machine learning engineer and Waseda University master's student with a decade of hands-on experience in computer vision and multimodal AI, currently working as a Computer Vision Engineer while self-employed. He has a strong competitive ML background, ranking in the top tiers across diverse Kaggle challenges—from medical imaging and histopathology to NLP, audio, and recommender systems—highlighting breadth and practical model-building skills. Based in Chiyoda, Japan, he combines academic training with production-minded engineering, shipping CV solutions at a technology firm while continuing research-driven experimentation. Notably, his consistent mid-to-high placements across large international competitions suggest an ability to rapidly prototype robust pipelines and generalize techniques across domains.
10 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Waseda University