Summary
Michael Rushin is an AI/ML engineer with 8 years of experience building enterprise-scale data integration and machine learning systems in government and defense settings. He has led technical teams at Booz Allen Hamilton, where he combined full-stack engineering, CI/CD, and automated testing with ML for computer vision and NLP applications. Currently at SAIC, he focuses on operationalizing ML and scalable data platforms, drawing on a background in geospatial intelligence and global affairs to inform multidisciplinary solutions. Known for mentoring engineers and producing clear technical documentation, he bridges research and production while prioritizing code quality and system reliability. His early work with USGS and the National Earthquake Information Center gives him practical insight into geospatial data workflows that often underpin his ML pipelines.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Geoinformatics & Geospatial Intelligence, Master of Science - MS, Geoinformatics & Geospatial Intelligence at George Mason University