Independent researcher focused on the practical and trustworthy application of generative AI and large language models, supporting AI adoption in manufacturing, life sciences, government, and enterprise.
Nobuteru Makiyama is an independent AI/ML researcher and business/technology consultant with more than 30 years of experience spanning entrepreneurship, systems engineering, management consulting, life sciences, data analytics, and digital transformation.
His current work focuses on practical and trustworthy applications of large language models and generative AI, including language-model reasoning, self-improvement and distillation, retrieval-augmented generation, multi-agent systems, knowledge systems, and evaluation of AI reliability.
He combines research-oriented AI development with real-world deployment experience across manufacturing, life sciences, government, healthcare, education, and enterprise operations.
AI/ML research, generative-AI and DX consulting, new-business development, and applied AI system design across government, manufacturing, life sciences, healthcare, education, IT services, and other industries. Recent work includes LLM/RAG knowledge systems, multi-agent workflows, manufacturing engineering AI, document and drawing analysis, and enterprise AI deployment.
Built a sales-intelligence function from the ground up and established data-driven decision support for sales and marketing. Led analytics, launch planning, targeting, business reporting, RPA, BI, and digital-transformation initiatives.
Managed life-sciences consulting and analytics teams and launched new AI/big-data related services. Worked across commercial analytics, market strategy, digital services, and supply-chain transformation.
Established and led a go-to-market team, developed and commercialized new data and digital services, and supported technology-enabled business transformation.
Led large-scale systems and business-transformation projects, including ERP, e-commerce, SCM, and public-sector digital initiatives, and supported technology ventures and product commercialization.
Co-founded an IT venture while at university and worked on software development, web services, IT education, and digital-content businesses.
Graduate School of International Management · MBA candidate
Executive Management Program (EMP)
Faculty of Engineering · Systems and Control Engineering