Minho Ryu is a Sr. AI Research Engineer with a decade of experience turning cutting-edge language model research into production-grade systems. At Kakao he co-led the Kanana foundation model series, driving pre-training of a 3T-token dataset, compute-efficient scaling, 128K-token context engineering, and a high-performing Korean embedding model that outperformed larger rivals on native retrieval benchmarks. He built a TPU-focused, JAX/MaxText training pipeline presented at Google Cloud Next 2025 and contributes actively to the open-source ecosystem as a Google Developer Expert and EleutherAI co-lead for Polyglot-Ko. His background blends rigorous academic training in ML and big data with hands-on product and infrastructure delivery across industry and research labs. Notably, he couples deep model engineering with pragmatic system-level optimizations that enable large models to be both efficient and accessible.
9 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Machine Learning & Bid Data Analytics, Master of Engineering - MEng, Machine Learning & Bid Data Analytics at Hanyang University
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Minho Ryu - Sr. AI Research Engineer at Kakao Corp