Summary
Roh Sunghwan is a seasoned software engineer with 11+ years of experience building high-impact systems across SAP, Samsung, and ETRI, blending deep academic training (Ph.D. in Software Engineering) with hands-on delivery. He specializes in software architecture, test automation, model-based testing, and performance optimization—most recently developing a capture-and-replay tool and machine-learning test-prioritization system that halved SAP HANA test time while doubling bug detection. Roh’s background spans low-level system work (RTOS, Linux kernel and device drivers), middleware (CORBA, ORB, IDL compilers), and application/server stacks (Android, JVM tuning, scalable test farms), often applying design patterns and formal methods. Notably, he has a track record of translating research into production gains—saving millions via optimized server farms and shipping customized Android HCE solutions—while maintaining fluency in Python, C/C++, Java, and tooling across embedded and cloud environments.
11 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Software Engineering, PhD, MS, and BS in Software Engineering and Computer Science, Doctor of Philosophy (Ph.D.), Software Engineering, PhD, MS, and BS in Software Engineering and Computer Science at Korea University
Certificate Course Work, Machine Learning, Certificate, Certificate Course Work, Machine Learning, Certificate at Standford University, Coursera
Korean, English