Shunsuke Kitada is a Ph.D. research scientist based in Tokyo with 11 years of experience building and evaluating deep learning systems for image recognition, NLP, medical imaging, and multi-modal advertising. Currently working across LY Corp and the University of Electro-Communications, he focuses on automatic generation and evaluation of ad creatives and assistive technologies for multi-modal ad delivery. His doctoral work improved prediction performance and interpretability through attention mechanisms, and he has applied those skills in industry research roles at Gunosy, CyberAgent, NTT, and LINE/LY. He regularly teaches and mentors—running image-generating AI lectures for Coloso and mentoring at Tokyo Tech’s TSUBAME deep learning camp—bridging research and practical high-performance computing. Notably, he combines rigorous academic grants experience (JSPS fellowship) with hands-on product-facing research that led to KDD and industry presentations. He is open to opportunities that specify company, position, and salary (expecting 18M JPY+).
11 years of coding experience
6 years of employment as a software developer
PhD in Engineering, 応用情報工学, PhD in Engineering, 応用情報工学 at 法政大学
Contributions:91 commits, 2 PRs, 60 pushes in 2 years 10 months
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