One engineer, three overlapping problems.

I am a Master's student in Information Management at the University of Washington, where I hold a 4.0 GPA, and a text mining specialist at UW Libraries and the eScience Institute. My work sits across three things that are really one thing: the AI system, the data underneath it, and the software that has to keep both running.

Before Seattle I spent a few years across machine learning and full-stack engineering, building systems end to end — collecting data, processing it, training models, and putting them into production with the APIs, infrastructure, and CI around them. These days I am most drawn to agentic AI, and to the harder half of it: proving a system got better rather than asserting it did.