Summary
Dylan Snyder is a software engineer with eight years of experience who blends production-grade engineering at Amazon with research-driven machine learning work. He has built real-time data pipelines and automated test systems on AWS, developed high-speed CNN models for gaze tracking and virtual backgrounds, and cleaned large biomedical datasets to meet regulatory requirements. Comfortable in C++, Python, TensorFlow and cloud environments, he focuses on solving business problems that improve customer outcomes. Known for turning prototype ML research into performant, deployable systems (e.g., a 145 FPS pupil-center model), he thrives at the intersection of software reliability and applied data science. Based in Cary, NC, he brings strong academic foundations in computer science and statistics together with hands-on internship experience across industry domains.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at North Carolina State University