Juyeong Lee
Backend Engineer (AI Platform)
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJuyeong Lee is a Backend Engineer specializing in AI platforms with nine years of experience building scalable ML/DL services for telco and fintech products in Seoul. He has led architecture and technical teams at KakaoPay to design high-throughput recommendation systems and an AI Gateway that routes and safeguards LLM calls across multiple cloud providers. Juyeong combines hands-on MLOps expertise—migrating SageMaker workflows to Kubeflow, building observability and SLO-driven operations—with backend skills in Python, Kotlin, Kafka, and Terraform. At SK Telecom he engineered production ML serving, AutoML pipelines, and explainable churn models operating on datasets of tens of millions of customers. He’s particularly strong at bridging ML and platform engineering: building APIs, monitoring, and guardrails that make advanced models reliable and consumable across products. With an Industrial & Systems Engineering background from KAIST, he brings a systems-oriented approach to scaling complex ML infrastructures.
9 years of coding experience
10 years of employment as a software developer
Master's degree, Industrial & Systems Engineering, Master's degree, Industrial & Systems Engineering at Korea Advanced Institute of Science and Technology
Korean, English
Github Skills (8)
backend6
frontend4
gluon4
deep-learning3
react3
redux3
tensorflow3
typescript2
Programming languages (2)
Github contributions (5)
ljy3795/pytorch_lab
Aug 2018 - Jul 2019
Contributions:38 commits, 39 pushes, 1 branch in 10 months
ljy3795/development_eng
Dec 2019 - Jan 2020
playground for all the development roadmap
Contributions:9 PRs, 80 pushes, 6 branches in 1 month
backendfrontendplayground
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