Summary
Rolando Garcia is a Presidential Postdoctoral Fellow at Arizona State University with a PhD in Computer Science from UC Berkeley and a decade of experience bridging data systems, software engineering, and applied ML. His research at Berkeley’s RISE and EPIC Data Labs focused on experimentation in MLOps and managing context across the machine learning lifecycle, and he is the chief developer of the FLOR family of projects that unify those capabilities. He combines rigorous academic training (NSF GRFP, UC Berkeley Chancellor’s Fellowship) with hands-on system building, having led visual analytics and decision systems work earlier in his career. Rolando’s background spans both teaching and industry-aligned research, including automated ML work at Penn’s Computational Genetics Lab. Based in Tempe, AZ, he brings a philosophy-informed perspective to technical problems, often emphasizing the role of contextual metadata in making ML reproducible and operational.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Berkeley
Bachelor of Science (B.S.), Computer Science, 4.0, Bachelor of Science (B.S.), Computer Science, 4.0 at Arizona State University
Philosophy, Philosophy at Northern Arizona University
English, Spanish