I am passionate about and have a firm foundation in Machine Learning and Computer Vision. Much of my experience is in applying CVML to defense and autonomous applications.

Example research papers that have inspired me: CLIP, VLMaps, CICERO, LLMs play Starcraft 2, FoundationPose, AlphaStar, MSCRED

Background

I received my Bachelor of Science in Electrical Engineering from UIUC ECE. After my undergraduate education, I worked in the automation, and semiconductor industries for a couple years. Working with SCADA Automation systems inspired me to want to enhance automation with intelligence. To jumpstart my transition into machine learning, I chose to attend UW ECE where I received my Master of Science in Electrical Engineering. Here I built a strong theory background in machine learning, deep learning, and computer vision. I also applied this theoretical background by working as a Research Assistant in several labs in the UW ECE and CSE Departments.

I began my professional ML career as a Graduate R&D Machine Learning Intern at Sandia National Laboratories over the summer of 2025. Now, I am a Post-Masters R&D Machine Learning Intern at Los Alamos National Laboratories.