Summary
Youngjae Kim is a professor of Computer Science and Engineering at Sogang University and a systems researcher with deep expertise in storage, I/O, and infrastructure-aware AI for data-intensive workloads. He combines academic leadership and industry collaboration—having led NVM research at Oak Ridge National Laboratory and served as a visiting researcher at SK Hynix—to push cross-layer designs for HPC, next-generation key-value stores, and SSD-aware OS/file-system support. His recent work optimizes LLM inference pipelines, RAG-based agentic systems, and high-capacity QLC/PLC SSD performance for cloud and on-prem deployments. With a Ph.D. from Penn State, over 100 publications, and a career spanning power/thermal modeling to flash translation layers, he brings both hands-on device-level insight and system-wide optimization skills. An interesting through-line in his career is translating low-level storage innovations into practical improvements for large-scale AI and HPC workflows.
8 years of coding experience
7 years of employment as a software developer
B.S. Computer Science, B.S. Computer Science at Sogang University
Ph.D. Computer Science and Engineering, Ph.D. Computer Science and Engineering at Penn State University
Sangmoon High School
M.S. Computer Science, M.S. Computer Science at Korea Advanced Institute of Science and Technology
English