Summary
Shohei Nagata is a product manager and former Cloud Solution Architect with a decade of experience building and operationalizing enterprise AI and data platforms across Microsoft and Salesforce in Japan, Korea, and Taiwan. He specializes in bridging business and technical stakeholders to design secure, compliant, and scalable architectures for Azure OpenAI, Azure Machine Learning, data warehousing, and Salesforce Agentforce that deliver measurable business outcomes. A proven presenter and roadmap owner, he has led major regional keynotes and strategic events and authored three technical books plus a LinkedIn Learning course on Azure AI and LLM applications. Comfortable both in customer-facing pre/post-sales roles and in product teams, he pairs hands-on demo and reference-architecture work (LangChain, Semantic Kernel) with strategic product leadership. Based in Tokyo and grounded in systems biology and bioinformatics training from Keio University, he brings a research-informed perspective to practical, responsible deployment of generative AI.
10 years of coding experience
8 years of employment as a software developer
Master of Media and Governance [M.M.G.], Systems Biology Program, Graduate School of Media and Governance, Master of Media and Governance [M.M.G.], Systems Biology Program, Graduate School of Media and Governance at 慶應義塾大学
Japanese, English, Chinese