Who I Am

My dad ran a technology solutions business, and growing up I watched him wear every hat imaginable — writing software, teaching it, and building something from nothing. Seeing what you could create with code, and what was possible when you built your own thing, stuck with me. I've been chasing both of those ideas ever since.

I studied Computer Science at the University of Florida with a minor in Electrical Engineering. Outside the classroom I was already deep in AI research — deploying neural networks for COVID-19 detection in retail environments, applying AlphaFold2 for cancer protein structure prediction, and TA'ing the AI and Heuristics course. By the time I graduated I knew exactly where I was headed.

I joined Amazon as a software engineer on Alexa AI, working on model deployment and device behaviors at global scale. When large language models started reshaping the industry, I moved into Amazon AGI where I worked on the team building what would become the Amazon Nova model family — touching everything from multi-modal inference to pre-training data pipelines. From there I joined Amazon Leo as a founding member of the Launch Operations Software team for Project Kuiper, building the software that tracks and verifies satellite health from the factory floor through the final hours before launch, at the scale of a 3,236-satellite constellation.

What keeps me motivated is pretty simple — I want to work on things that matter and build with people who care. The technical domain has changed at every stop, but that part has stayed constant.

Outside of work, I'm a car enthusiast with a soft spot for American muscle — I drive a manual Dodge Challenger Hellcat and an H2 Hummer, both yellow, naturally. I run and cycle competitively, and my rescue dog Rocky is my constant companion.