I completed my BS in Computer Engineering at Purdue University in Spring 2022. I am continuing my education at Purdue with an MS in Electrical and Computer Engineering through research with Professor Stanley Chan's Intelligent Imaging Laboratory.I have engaged in industry experience at Kennedy Space Center and Milwaukee Tool where I utilized my knowledge of software development to modernize processes and verify mission-critical system functionality.As an undergraduate, I served as the Software Lead for Purdue's University Rover Challenge team. This inspired my interest in camera systems, computer vision, and image formulation using techniques in machine learning. I carried my interests from URC into my graduate research as I work with Professor Chan to develop software solutions that enable image simulation, denoising, and formulation on novel camera hardware and in adverse imaging situations.I am always looking to engage in conversation regarding cameras, optimization methods, machine learning, photon physics, and sustainable software development techniques.