Summary
Esteban Guillen is a Principal Software Engineer at Sandia National Laboratories with a decade of experience applying machine learning and deep learning to defense-grade computer vision challenges. He leads a small team that translates complex data problems into practical, reliable ML solutions and ensures research and production stay tightly aligned. Over his long tenure at Sandia, he has shipped features, designed architectures, established automated testing, mentored staff, and taught deep learning while tackling embedded hardware issues. He is pursuing a Ph.D. in Computer Science at the University of New Mexico, combining rigorous research with hands-on delivery across mission-critical systems. Based in Albuquerque, New Mexico, he brings leadership in ML, systems engineering, and a strong curiosity for applying AI to national security problems.
10 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, 3.90, Doctor of Philosophy (Ph.D.), Computer Science, 3.90 at University of New Mexico School of Engineering
Bachelor of Science (BS), Computer Engineering, 3.7, Bachelor of Science (BS), Computer Engineering, 3.7 at Kansas State University