Summary
Matthew Smith is an R&D manager leading a 14-person Statistics & Data Analytics organization at Sandia National Laboratories, combining hands-on technical depth with people leadership. With 11 years of experience at Sandia and earlier roles as a Ruby on Rails web developer, he bridges applied machine learning (deep learning, computer vision, RL) and production software engineering. He previously led a nine-person team applying ML to national security challenges, translating research prototypes into operational capabilities. Matthew holds an MS in Computer Science (3.93 GPA) from the University of New Mexico and is completing technical management studies at UCLA Extension, reflecting a blend of rigorous technical and managerial training. Colleagues value his ability to navigate complex interdisciplinary projects where statistical rigor, software craftsmanship, and mission priorities intersect.
11 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Science, 3.93 GPA, Master of Science - MS, Computer Science, 3.93 GPA at University of New Mexico School of Engineering
Technical Management Program at UCLA Extension