I'm a Computer Science master's student at the University of New Mexico, where I work as a Research Assistant building AI performance models for scientific applications running on supercomputers at Lawrence Livermore National Laboratory.
My research sits at the intersection of high-performance computing and machine learning, integrating uncertainty quantification and active learning with deep neural networks or gradient-boosted trees. I also build the data collection and preprocessing pipelines that feed these models.
Before focusing on HPC research, I spent over a year as a Robotics Research Faculty Assistant developing ROS2 and micro-ROS software for cooperative transportation between mobile manipulators. I also worked as a Software Developer Intern at Duke City Digital, where I handled full-stack development, AWS infrastructure, and CI/CD automation.