Minho Ryu
Machine Learning Engineer at Kakao
Pangyo, Republic Of Korea
Summary
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RockstarMinho 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.
10 years of coding experience
Github Skills (127)
transformers10
benchmark10
high-resolution10
language-model10
memory-efficient10
python10
dialog10
datasets10
transformer-models10
huggingface10
dialogue-systems10
deep-learning10
speech10
bug-reporting10
inpainting10
Programming languages (9)
Github contributions (5)
bzantium/Posterior-Knowledge-Selection
Jun 2019 - Dec 2021
Learning to Select Knowledge for Response Generation in Dialog Systems
Contributions:106 commits, 6 PRs, 92 pushes in 2 years 6 months
dialog-systemsdialognatural-language-generationknowledgedialogue-systems
bzantium/simplex-method-matlab
Sep 2018 - Dec 2018
Simplex Algorithm MATLAB Implementation
Contributions:53 commits, 2 PRs, 35 pushes in 3 months
matlabsimplex-algorithm
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