Shunsuke Nagano is a software engineer based in Shibuya with nine years of experience, currently working at DeNA after completing a master's in Intelligence Science and Technology at Kyoto University. His research background spans algorithmic graph problems—co-authoring work on non-separating/non-disconnecting paths published at MFCS2022—and he now applies that theoretical rigor to deep learning, focusing on few-shot image classification. Comfortable moving between formal research and production engineering, he blends strong academic foundations with practical software development. An understated strength is his ability to translate complex combinatorial insights into machine learning model design and evaluation.
9 years of coding experience
修士(情報学), 情報学研究科知能情報学専攻, 修士(情報学), 情報学研究科知能情報学専攻 at 京都大学
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