Reader

I work on machine learning systems, with a particular interest in what happens to models and infrastructure once they move from prototypes into long-lived, real-world use.

Much of my work has taken place in large production environments, where systems have to serve real organizations with real constraints. Over time, my focus has shifted away from individual models and toward the structures around them, including the monitoring, evaluation, and governance practices that make complex systems understandable to the people who depend on them.

I tend to be drawn to the unglamorous parts of engineering, such as reproducibility, maintenance, documentation, and the slow work of turning one-off solutions into things that can survive beyond their original authors.

Outside of work, I spend a lot of time reading, practicing yoga, and trying to become a slightly more deliberate person than I was the day before.