Tokyo, Japan
As a Solutions Architect, I partner with enterprise clients — primarily in financial services, insurance — to design cloud and data platform architectures that are both innovative and compliant with the demands of highly regulated environments. My core expertise sits at the intersection of data governance, modern cloud architecture, and bringing LLMs and generative AI into real enterprise workflows. I've been building an LLMOps foundation with mlflow — covering experiment tracking, prompt and model versioning, evaluation workflows, and the practical challenges of wiring LLM backends into front-end applications. It's the kind of work that sits right where technical depth, governance, and human judgment meet, and I enjoy it because it's where generative AI stops being a demo and starts being something a business can actually rely on. A few things I've learned about myself along the way: ・I enjoy translating complex technical concepts for any audience — from engineering teams to the C-suite — and I take pride in being a trusted technical advisor rather than just a vendor. ・I love winning, but I get even more satisfaction from helping the team win. ・I'm committed to continuous learning; it's what keeps reshaping my mindset and broadening my perspective. Domains: FSI, Insurance, Life Sciences, Healthcare, Government, Telecommunications Academic background: Molecular Biology, Bioinformatics, Neuroinformatics
Consultant who is well versed in a business-related data science. Conducted projects for many hospitals and pharmaceutical companies in Japan. Responsibilities include defining the business problems to be solved, formulating, gathering of data to solve those problems and giving the presentations.