Dong-yongย Lee
Place AI MLOps (Lead) at NAVER Corp
Seoul, South Korea
Summary
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Top SchoolDong-yong Lee is an MLOps lead at NAVER with 11 years of experience building and productionizing ML pipelines, infra and inference systems for large-scale place/LLM services. He transitioned from AI engineering at Netmarble to leading Place AI MLOps, driving AI-native MLOps, FMOps adoption, and LLM serving/optimization (including work highlighted with NVIDIA). Based in Seoul, he combines a master's in computer science from Yonsei with hands-on infrastructure design and performance tuning for serving large models. An active learner and practitioner, he documents projects on GitHub and a technical blog, signaling a strong mix of applied research curiosity and production-focused delivery.
11 years of coding experience
2 years of employment as a software developer
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Github Skills (77)
transformers10
language-model10
parallel10
python10
flax10
etl10
hyperparameter-optimization10
automation10
mlops10
deep-learning10
automl10
ray10
orchestration10
optimization10
apache-airflow10
Programming languages (4)
Github contributions (5)
pfldy2850/vllm
Aug 2023 - Jan 2024
A high-throughput and memory-efficient inference and serving engine for LLMs
Contributions:40 pushes, 7 branches in 5 months
pfldy2850/reinforcment-learning-boilerplate
May 2021 - Feb 2023
Tools for Reinforcement Learning
Contributions:8 PRs, 15 pushes, 4 branches in 1 year 9 months
boilerplatereinforcement-learningdeep-reinforcement-learningabaqusreinforcement
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