Summary
Nolan Kuza is a software engineer specializing in AI infrastructure with eight years of experience building reliable backend systems across robotics, cybersecurity, and semiconductor inspection. Currently at KLA, he develops production-grade AI pipelines and distributed services that accelerate microchip inspection algorithms, having previously reduced middleware overhead by 50% in large integrations. He brings embedded and systems expertise from autonomous vehicle and robotics projects—designing flight controllers, ROS algorithms, and low-cost radar interfaces—that inform pragmatic, performance-conscious infrastructure choices. Nolan pairs strong engineering execution with teaching experience from the University of Michigan, where he scaled discussion materials for 700 students and reworked team processes for efficiency. He has a BS and MS in Computer Science from Michigan and a track record of cutting hardware and device costs dramatically through software-driven design. Colleagues describe him as a reliability-first engineer who blends deep systems knowledge with an appetite for making complex workflows simple and maintainable.
8 years of coding experience
5 years of employment as a software developer
Notre Dame Preparatory School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Michigan
Bachelor of Science in Engineering - BSE, Computer Science Major, Mathematics Minor, Bachelor of Science in Engineering - BSE, Computer Science Major, Mathematics Minor at University of Michigan College of Engineering