A Seattle-based technologist and researcher explores intersections between machine learning, theoretical physics, and immersive media through structured academic study and hands-on implementation. Their computer science work includes completing Stanford's Deep Learning for Computer Vision curriculum and building classical ML algorithms using Python and NumPy frameworks. The technical foundation spans k-Nearest Neighbor methods, Support Vector Machines, and foundational computer vision applications. Their physics research concentrates on particle physics fundamentals and quantum mechanics through established academic channels and verified online resources. Current focus areas include the Standard Model of Particle Physics, quantum field theory, and computational approaches to modeling physical systems. This work builds on previous studies in theoretical physics and mathematical modeling. The research extends into experiential media through participation in Luna Palace Cinemas' Cine-Wonders program and analysis of emerging virtual reality platforms. Professional projects combine technical implementation with investigation of human consciousness and perception. Their work examines how immersive technologies can create new forms of human connection and understanding.