Summary
Donghwee Kwon is a software engineer with nine years of experience building safety-critical and imaging systems, currently contributing to Snap Inc. after a multi-year tenure at Qualcomm where he developed ISO26262/AUTOSAR-compliant multi-threaded applications, safety monitors, and camera tuning tooling. He pairs strong C++ and Python engineering with domain expertise in image signal processing—having implemented noise reduction, color correction, automatic chart classification, and hardware fault detection frameworks. His background includes research in computer vision and autonomous RC vehicles at UCSD and hands-on UNIX-based systems operation from military service, giving him a blend of academic, embedded, and operational rigor. Based in Santa Monica and pursuing advanced CS studies at Georgia Tech, he brings a practical knack for automating testing and tuning workflows that shorten OEM feedback cycles and improve perceived video quality.
9 years of coding experience
6 years of employment as a software developer
University of California, San Diego
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
Korean, English