JiSeong Kim
Machine Learning Engineer at KAKAO
Summary
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SeniorJiseong Kim is a data architect and practice manager with eight years of focused experience in designing and operating large-scale data lakes, warehouses, and analytics platforms, now leading Emerging Technologies and Intelligent Platform at AWS. He combines hands-on engineering—spanning Hadoop/Spark ecosystems, Kafka, Flume, and AWS data services—with strategic responsibility for data governance, security, and scalable architectures. Prior roles at SK Telecom and Samsung SDS show a track record of applying machine learning to telecom, finance, and manufacturing problems, including OLAP BI, network analytics, and fault-detection systems. At AWS he transitioned from senior architect to team leader, shepherding enterprise-grade batch and real-time pipelines for complex data domains. Based in Namyangju-si, South Korea, he also profiles as a KAKAO machine learning modeler, signaling practical ML modeling experience alongside platform engineering. Colleagues know him for bridging deep technical detail with operational maturity to turn experimental models into production-ready data products.
8 years of coding experience
Github Skills (9)
deep-learning8
artificial-intelligence8
tensorflow7
ai7
css5
javascript4
naver4
react2
nodejs2
Programming languages (2)
Github contributions (5)
intelli8786/AI_BlemishesRemover
Jan 2022 - Jan 2022
NAVER BoostCamp Final Project
Contributions:2 commits, 35 pushes, 6 branches in 1 day
reactjavascriptnodejsreactjsnaver
intelli8786/MOTDE
Jul 2020 - Jul 2020
Contributions:3 pushes, 1 branch in 1 day
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