Masaki Samejima is a solutions-focused architect with 11 years of experience building and operationalizing AI/ML and data platforms across academia and industry, currently driving generative AI and unstructured-data solutions at IBM Japan after DataStax’s acquisition. He has led and scaled ML specialist teams at AWS Japan, designing go-to-market technical strategies for large-scale model training, personalization, forecasting and generative AI, and has hands-on experience implementing RAG and agentic workflows with Astra DB and LangChain. His background as an Osaka University researcher and visiting scientist in Europe informs a rigorous, optimization-driven approach to system design—spanning anomaly detection, computer vision, and energy-efficient resource allocation. Known for bridging research and production, he combines PhD-level modeling skills with practical solution engineering to help media and enterprise customers turn complex data into reliable AI-driven outcomes.
11 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Information Science, Doctor of Philosophy (Ph.D.), Information Science at 大阪大学
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