Summary
Chris Norton is a Machine Learning Lead with eight years of experience building computer vision and embedded ML systems, currently managing data pipelines, labeling teams, and model training for Rowbot Systems. He specializes in agricultural and eco-friendly industrial automation, combining hands-on data collection and field maintenance with production model development. His background spans research-grade microscopy segmentation, instance segmentation for commercial clients, and upgrading legacy C++ vision stacks to modern libraries, reflecting both academic rigor and practical engineering. Based in Minnesota, he has a track record of taking projects from sensor telemetry and autonomous rover navigation to deployable vision models, and he’s known for learning new techniques independently to push system performance.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Michigan Technological University
Dual Enrollment, Computer Science, Dual Enrollment, Computer Science at Bethel University
High School Diploma, Computer Science, High School Diploma, Computer Science at Nova Classical Academy Upper School