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.
Contributions:62 commits, 3 PRs, 18 pushes in 2 months
apipythondjangocumulusapi-server
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