Summary
Lev Song is a Senior Backend Engineer with 9 years of experience building high-throughput, production-grade services, currently developing feed APIs for Coupang Play. He brings a strong ML background from three-plus years as a Machine Learning Engineer at NAVER and KAIST, where he built scalable prediction APIs, MLOps tooling, and recommendation systems that processed millions of items daily. Comfortable across the stack, he has hands-on experience migrating ML workloads to Kubernetes, automating CI for models, and turning research prototypes into resilient backend pipelines. His academic work on context-aware session recommendations and implementations of RNN-based models reflect a rare blend of applied research and production engineering. Based in South Korea, he combines data-driven model thinking with pragmatic infrastructure skills to ship reliable, high-traffic services.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree Economics Statistics, Bachelor’s Degree Economics Statistics at Sungkyunkwan University
Master's degree Data Mining, Master's degree Data Mining at Korea Advanced Institute of Science and Technology
Korean, English