I build ML automation pipelines that operate at scale—geospatial processing, perception systems, and NLP. At Satelytics, I architect end-to-end data systems that transform raw satellite imagery into actionable intelligence, from vendor API intake through model inference to automated delivery.

My path to engineering wasn't linear: from technical writing to Japanese translation to computer science, each step shaped how I approach building systems. My master's research in Graph Neural Networks for computer vision deepened my focus on how connected structures reveal patterns in complex data.

I'm drawn to problems where scale and structure intersect—where graph relationships, spatial context, and automation come together to turn raw data into decisions.