Summary
Changhoon Sung is a backend and data-focused engineer with 8 years of experience bridging systems research and production software. Currently a graduate student researcher at San Diego State University, he builds low-latency, reinforcement learning–driven OS schedulers and optimizes I/O for ROS-based autonomous systems, improving sensor scalability and reducing performance variance. His work spans eBPF-based runtime tracing for F2FS on ZNS SSDs, NUMA/tiered memory research, and cloud-native backend services, reflecting deep expertise in storage, kernel-level monitoring, and distributed systems. Having shipped resource-monitoring agents and CI/CD-backed web platforms in industry, he blends academic rigor (MS student with a 4.0 GPA) with practical, deployable solutions. Notably, he combines kernel-level optimizations with application-layer architectures to move research prototypes toward production-ready tooling.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, GPA 4.31 / 4.5 (3.91 / 4.0), Bachelor's degree, Computer Science, GPA 4.31 / 4.5 (3.91 / 4.0) at Kookmin University
Master's degree, Computer Science, GPA 4.0 / 4.0, Master's degree, Computer Science, GPA 4.0 / 4.0 at San Diego State University
English, Korean