Hiroshi Noji is a lead researcher and ML engineer with 14 years of experience specializing in NLP and productionizing multimodal language solutions. He has led end-to-end efforts from research (ACL/Findings papers) to product, most recently designing an LLM-based, fully automated manga localization pipeline that materially improved human-evaluated quality. His background spans academia and industry—PhD-level NLP research at AIST and faculty experience—plus hands-on systems work building models and edge deployments (Apple Neural Engine, ONNX) and defining chip-level specs for massive LLM training clusters. Known for practical algorithmic improvements (e.g., orders-of-magnitude speedups for RNNG inference) he combines deep research rigor with product-minded execution across hardware, model, and application layers.
14 years of coding experience
12 years of employment as a software developer
University of Tokyo
Bachelor of Engineering - BE, Electronical Engeneering and Bioscience, Bachelor of Engineering - BE, Electronical Engeneering and Bioscience at Waseda University
PhD, Informatics, PhD, Informatics at The Graduate University for Advanced Studies
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