Yuta Kamikawa is a Tokyo-based software engineer with nine years of experience focused primarily on machine learning and applied AI. He has progressed from internships at major firms like Hitachi and Mercari to engineering roles at Preferred Networks and LayerX, and now develops software at KenRi. His background combines graduate-level study in intelligent informatics at Kyoto University with hands-on engineering across research-oriented and product-driven teams. Yuta is comfortable bridging research and production, having worked on projects that span prototyping to deployment in industrial and startup settings. Colleagues would note his steady progression through highly selective Japanese AI organizations, suggesting strong technical rigor and adaptability. He brings a practical, research-informed approach to building ML systems in real-world environments.
Inplementations of Squeeze and Exicitation Networks with tensorflow.
Contributions:40 commits, 30 pushes, 1 branch in 3 months
squeezetensorflowresnet
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