Masataka Kashiwagi is an MLOps Engineer with eight years of experience building and operationalizing machine learning systems across autonomous driving, manufacturing IoT, and web SaaS. He designs scalable data and training workflows, improves auto-labeling with vision-language models, and builds active learning pipelines for perception and recommendation systems. As a former ML tech lead and manager, he introduced ADRs, code review practices, and standardized stacks while owning OKRs and hiring for ML teams. His hands-on background spans cloud-native MLOps (GCP/AWS), RAG/search infrastructures, and production A/B testing, reflecting a balance of research, infra, and product impact. Based in Chiyoda, Japan, he combines a math-focused M.Eng. with practical deployments, and has a habit of documenting technical decisions and automation workflows that make iterative model improvement repeatable.
8 years of coding experience
9 years of employment as a software developer
Master of Engineering (M.Eng.), Mathematical Sciences, Master of Engineering (M.Eng.), Mathematical Sciences at Osaka Prefecture University - 大阪府立大学
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