CS master's student doing AI/HPC research at the University of New Mexico.
I've built data pipelines and worked with a variety of different machine learning models. I've also worked with active learning and uncertainty quantification methods.
I've used top-tier supercomputers such as Frontier during HPC competitions and Tuolumne for HPC research. I've also worked with a variety of other clusters to run scientific software and train machine learning models.
I am the second author of a paper on cooperative transportation between two mobile manipulators. This paper was accepted at MECC 2026.
I'm currently building AI performance models for scientific applications. I also have experience in robotics research and full-stack web development.
AI performance modeling with uncertainty quantification and active learning for scientific applications running on Tuolumne.
ROS2 and micro-ROS software enabling two mobile manipulators to cooperatively transport objects using real-time force feedback.
Full-stack web development using Angular and Django, deployed on AWS infrastructure.
I've competed in the SC24 SCC and built projects spanning distributed ML, LLMs, and computer vision.
