Summary
Matthew Derzay is a software engineer with nine years of experience building embedded and full-stack systems, currently modernizing GE HealthCare devices with Linux, Yocto, and C++ to create more secure, modular, and scalable products. He pairs practical device-level engineering—bringing up new OS images and streaming camera data for clinical devices—with higher-level work in web applications and automation using Python, Django, Java, and Angular. Trained with a Master's in Artificial Intelligence from Johns Hopkins and a BS in Computer Science from UW–Madison, he is actively bridging embedded systems and AI by setting up Python environments for third-party research and labeling point-cloud data to train clinical models. Known for collaborating closely with clinicians and stakeholders, he emphasizes intuitive UX that improves clinical workflows rather than adding complexity. He also has experience introducing tooling and quality practices like SonarQube to improve code security and developer efficiency. Outside core deliverables, Matthew focuses on pragmatic AI adoption in constrained, safety-critical hardware environments—an often-overlooked but high-impact intersection.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Wisconsin-Madison
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Johns Hopkins Whiting School of Engineering