Jinglue Xu is an AI researcher and software engineer based in Tokyo with nine years of experience focused on making AI more automated and accessible to non-experts. Holding a PhD in Computer Science from the University of Tokyo and a background in physics from UIUC, Jinglue blends deep academic rigor with practical engineering across research and product roles at Sakana AI and Preferred Networks. They have published in top-tier conferences and won a solo Kaggle gold medal, demonstrating both theoretical and applied strength in creative automation projects. Known for building unique applications that simplify complex workflows, Jinglue brings a maker’s curiosity and poetic sensibility—evident even in a lyrical GitHub bio—to pragmatic AI system design.
9 years of coding experience
1 year of employment as a software developer
University of Tokyo
Bachelor's degree, Physics, Bachelor's degree, Physics at University of Illinois Urbana-Champaign
Contributions:35 commits, 22 pushes, 1 branch in 1 year 7 months
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