Summary
Dongseob Kim is a software engineer and graduate research assistant specializing in data and machine learning systems, with eight years of industry and research experience. At Samsung Research he helped build on-device data platforms for Galaxy devices (notably contributing to the Personal Data Engine featured in Galaxy S25), designed knowledge graphs and search engines, and implemented distributed deep-learning training systems and ETL pipelines. Currently on leave to pursue a Master’s at Seoul National University, he researches AI-centric database optimizations and RAG serving engines at the VLDB lab. His skillset spans Android/Kotlin development, backend services, large-scale data engineering (Apache Beam, BigTable), ML frameworks (JAX, PyTorch), and production orchestration (Kubernetes, Airflow). Colleagues know him for bridging applied research and shipping production-ready systems, with published work and open-source components for heterogeneous GPU training.
8 years of coding experience
Master's degree, Graduate School of Data Science, Master's degree, Graduate School of Data Science at Seoul National University
Bachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at Korea University
English