Summary
Andrew King is a Principal Machine Learning Engineer with 11 years of experience building and deploying advanced AI systems across geospatial intelligence, computer vision, NLP, and synthetic media. He researches generative AI, neural-evolutionary architectures, and emergent intelligence, and is the author of Scopi, SlowGlass, and the EDEN engine. At NextGen Federal Systems and prior roles at Leidos and Ellucian he translated cutting-edge models—CNNs, sparse convs, transformers, GANs and diffusion models—into production for defense, aerospace, and enterprise customers. His academic work at the University of Georgia produced CVPR-published results in underwater semantic segmentation, demonstrating both strong research rigor and applied impact. Based in Seattle with an MS in Artificial Intelligence, he blends scientific curiosity with product-focused engineering to move novel ML ideas from prototypes to operational systems. An uncommon thread through his career is applying evolutionary-style architectures to multi-modal, mission-critical data streams, bridging research and deployment.
11 years of coding experience
12 years of employment as a software developer
Bachelor’s Degree, Computer Science, Business Management, 3.87, Bachelor’s Degree, Computer Science, Business Management, 3.87 at Southern Virginia University
Master’s Degree, Artificial Intelligence, 3.93, Master’s Degree, Artificial Intelligence, 3.93 at University of Georgia - Institute for Artificial Intelligence
Modern Hebrew, 4.0, Modern Hebrew, 4.0 at University of Virginia
English, Hebrew