I like the point where a research question has to survive contact with code.
I explore machine learning through experiments, build the data and software those experiments need, and share useful things I learn along the way.
| Focus | |
|---|---|
| Research | Running careful ML experiments and turning results into a clearer understanding of model behavior. |
| Engineering | Building practical data pipelines, models, and tooling that can move beyond a notebook. |
| Community | Writing, exchanging ideas with other practitioners, and making technical work easier to approach. |
Languages and data
Machine learning and systems
I enjoy talking with people who are testing ideas, building useful AI systems, or helping others learn. If that sounds like you, send me a note.