I’m an Applied ML Architect passionate about designing the full stack of intelligent systems. My work blends machine learning engineering, application architecture, and systems design, emphasizing scalable, efficient, and interpretable intelligence. With a foundation in mathematics, computer science, and cognitive science, I approach technology as the study of how computation and cognition shape each other. My goal is to bridge these layers — hardware, models, and people — into cohesive architectures that advance how humans interact with intelligent computation.