Lucas Saldyt is an applied AI researcher and software engineer with a decade of experience building safety-critical and production ML systems for spaceflight and healthcare. Currently a Graduate Intern at NASA JPL, he deploys planning, localization, and interpretable ML on the Perseverance Mars rover and writes radiation-hardened embedded spaceflight software. His background spans PhD-level research in computer science, medical ML deployment at PathAI, and diverse NASA internships where he built search engines, data-mining libraries, and verification tools. Lucas blends hands-on robotics prototyping with strong systems engineering—he’s comfortable shipping Rust, Python, and JavaScript components into constrained, high-assurance environments. Known for tackling hard integration challenges (e.g., replacing inefficient web/Kubernetes flows with localized controllers), he brings both research depth and pragmatic production experience to ambitious autonomous systems.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 3.83, Doctor of Philosophy - PhD, Computer Science, 3.83 at Arizona State University
Bachelor of Science - BS, Computer Science, Completed, Bachelor of Science - BS, Computer Science, Completed at Ira A. Fulton Schools of Engineering at Arizona State University
High School, High School at Sandia Preparatory School
Contributions:77 pushes, 3 branches in 3 years 7 months
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