Summary
Seiji Maekawa is a research scientist at Megagon Labs in Mountain View with eight years of experience at the intersection of graph neural networks, active learning for language models, and retrieval-augmented LLMs. He brings a strong academic foundation—pursuing a PhD in Information Science at Osaka University—and a track record of collaborative research roles across universities and industry in the US, Europe, Hong Kong, and Japan. His work blends theoretical modeling with applied experimentation, informed by internships and visiting positions that exposed him to diverse research cultures and production-minded teams. Known for moving between deep research and practical implementations, he often focuses on improving sample efficiency and retrieval strategies that make language models more reliable in real-world settings.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Information Science, Doctor of Philosophy - PhD, Information Science at Osaka University
Bachelor of Engineering (Informatics), Informatics, Bachelor of Engineering (Informatics), Informatics at Kyoto University