Yu Kim is an engineer with 11 years of experience blending database internals, NLP research, and cloud-native ML operations across industry and academia in South Korea. He has deep hands-on expertise in Tibero query compilation, ML-driven SQL tuning, and building cost- and logical-optimizer components, coupled with production AI/ML platform work as an AWS SageMaker and MWAA subject matter expert. His background spans developing Korean NLP tooling (an early SentencePiece-like BPE implementation), conversational NLU pipelines, and data engineering for model-driven optimization—skills he’s applied to both research projects and commercial DB engines. Comfortable moving between low-level optimizer code and cloud deployment, he uniquely bridges database systems, applied ML, and scalable cloud infrastructure.
11 years of coding experience
10 years of employment as a software developer
The University of Maryland, College Park
Master of Science (MSc), Industrial Engineering, Master of Science (MSc), Industrial Engineering at Korea Advanced Institute of Science and Technology
Contributions:22 pushes, 1 branch, 1 comment in 5 months
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