道下孝之

AI architect and independent advisor specializing in upstream design and technical decision support for Generative AI. I hold an M.S. in Information Science from the University of Tokyo. My work spans manufacturing, finance, and IT, leading AI strategy, architecture design, and PoC evaluation. With a research background in neuroscience and high-dimensional analysis, I focus on statistical rigor, structural thinking, and reproducible system design—ensuring AI initiatives are not just innovative, but operationally sustainable and explainable.