Shota Saito is Chief Research Officer at SKILLUP NeXt and a doctoral researcher at Yokohama National University with a decade of experience bridging machine learning consulting, hands‑on model development, and professional AI training for business audiences. He leads projects from PoC to production while also designing and mentoring curricula that translate deep learning advances into practical skills for practitioners. His research focuses on AutoML—especially neural architecture search—and black‑box hyperparameter/structure optimization, with work accepted at top venues like ICML and GECCO. Combining academic rigor with product-minded delivery, he builds efficient stochastic model‑based evolutionary algorithms to cut the high cost of search. Based in Chiyoda, Tokyo, he brings both the practitioner’s eye for deployable solutions and the researcher’s drive to push optimization methods forward.
10 years of coding experience
5 years of employment as a software developer
Foundation degree of Engineering, Electronic and Computer Engineering, Foundation degree of Engineering, Electronic and Computer Engineering at National Institute of Technology, Ibaraki College
Department of Information Environment, Graduate School of Environment and Information Sciences, Department of Information Environment, Graduate School of Environment and Information Sciences at Yokohama National University
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