Summary
Matthew Fuller is a test engineering technician and CSUN master's graduate in Computer Science with a decade of hands-on experience automating and validating complex systems for AI and cloud enterprise hardware. At DDN he assembles and rigorously tests server memory enclosures and system head units, authoring Python scripts and Tera-Term TTL macros to streamline pipeline testing from OS installs to final drive formatting. His background includes compiler toolchain work and automated grading infrastructure at CSUN and a rare applied-systems stint at JPL refactoring a domain-specific compiler, demonstrating comfort across embedded, language-tooling, and data-center scale projects. Known for pragmatic tooling that reduces manual QA effort, he blends practical customer-facing problem solving with a persistent focus on reliability and maintainability. Located in Los Angeles, he brings collaborative engineering habits and a curiosity for XR, web, and embedded development reflected in multi-language personal projects.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, 3.78, Master's degree, Computer Science, 3.78 at California State University, Northridge
English, Spanish