Hirofumi Kobayashi is an AI Solution Architect at NVIDIA with eight years applying machine learning and optics expertise to biomedical imaging, generative AI, and defect detection. He holds a Ph.D. in Optics from The University of Tokyo and has translated research into production-ready tools—from large models on HPC to lightweight GUI-enabled models on laptops. His work spans histopathology generative models, image translation and segmentation, and robust data-cleaning pipelines, backed by multiple publications in top journals. Comfortable setting up on-prem infrastructure and Dockerized workflows, he bridges deep research rigor with practical deployment experience. Colleagues note his knack for turning complex microscopy and genomic problems into elegant ML solutions that run at both scale and edge.
8 years of coding experience
5 years of employment as a software developer
Exchange Student, Metabolism, Exchange Student, Metabolism at Ecole normale supérieure de Lyon
Exchange Student, Chemistry, Exchange Student, Chemistry at University of California, Davis
University of Tokyo
Bachelor of Science, Chemistry, Bachelor of Science, Chemistry at Tokyo University of Science
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Hirofumi Kobayashi - AI Solution Architect at NVIDIA