Nathan Gage
About Nathan Gage
Nathan Gage is a Machine Learning Engineer currently working at Cognitive Space in Dallas, Texas. He has a strong background in computer science with both a Bachelor of Arts and a Master of Science from Southern Methodist University, and has held various roles in research and development, including co-owning Ultra Guides.
Current Role at Cognitive Space
Nathan Gage currently serves as a Machine Learning Engineer at Cognitive Space, a position he has held since 2023. In this role, he focuses on training graph models using PyTorch and PyG to enhance satellite constellation topology and networking performance. His work involves applying machine learning techniques to improve the efficiency and effectiveness of satellite networks.
Previous Experience at Ultra Guides
Prior to his current role, Nathan Gage was a Co-Owner at Ultra Guides, specifically Blizzard Guides, from 2018 to 2023. During his five years in this position, he operated out of Dallas, Texas, where he contributed to the development and management of gaming guides, leveraging his technical skills and industry knowledge.
Research Assistant Positions at Southern Methodist University
Nathan Gage held multiple research assistant positions at Southern Methodist University. From 2021 to 2023, he worked as a Graduate Research Assistant on the MELVA project, focusing on full-stack development and architecture. Additionally, he served as a Research Assistant in Distributed Private Machine Learning from 2021 to 2022, contributing to research in advanced machine learning techniques.
Educational Background in Computer Science
Nathan Gage completed his education at Southern Methodist University, earning a Bachelor of Arts in Computer Science in 2023 and a Master of Science in Computer Science in 2023. His academic journey spanned four years for his undergraduate degree and two years for his graduate studies, equipping him with a solid foundation in computer science principles and practices.
Technical Skills and Personal Projects
Nathan Gage possesses strong programming skills in C++ and Python, along with experience in full stack development using React/Next.js and AWS. In addition to his professional work, he engages in personal projects that involve Stable Diffusion and cellular automata. He also hosts AI groups and math book clubs to deepen his understanding of AI research.