Austin Anderson
Mission Software Engineer
Austin Anderson builds fast, smart systems that make sense of messy data. At Trevity, he led backend and AI development for a data analytics platform that helped customers work 30–50% more efficiently by streamlining thousands of data sources into actionable insights. Before that, at Booz Allen Hamilton, he worked on NASA’s TEMPO mission—building workflows to transform satellite data into geospatial imagery. He also designed a neural network ensemble to geolocate images with minimal metadata. While at William & Mary, Austin conducted research at geoLab, using satellite imagery to predict road quality and helping build geoBoundaries—the world’s largest open-license geospatial database, used by organizations like USAID and the UN. He graduated cum laude from William & Mary with a degree in Data Science, focusing on neural networks. Outside of work, Austin enjoys rock climbing, working with his hands, and tackling endurance challenges. He’s completed two marathons, an ultramarathon, and an Ironman. He also holds a black belt in Tae Kwon Do and loves talking about current events with friends.