Summary
Kyle Zeller is a Machine Learning Engineer with 11 years of experience focused on decoding brain activity using EEG data and deep learning architectures. He leads independent research projects exploring novel neural network designs for brain-computer interface applications, combining strengths in computer science, electrical engineering, and applied mathematics. Based in Shortsville, NY, he brings a hands-on, research-driven approach to AI problems and a sustained curiosity about how architecture choices affect neuroscientific interpretability. His academic background from SUNY Oswego reflects a multidisciplinary foundation that informs both signal processing and model development.
11 years of coding experience
Bachelor of Science (BS), Computer Science and Electrical & Computer Engineering Majors with a Math Minor, Senior, Bachelor of Science (BS), Computer Science and Electrical & Computer Engineering Majors with a Math Minor, Senior at State University of New York College at Oswego