Language,
data,
light.
I work at the intersection of linguistics and machine learning — building datasets and evaluation systems for large language models. Outside the terminal, I shoot film.
Linguist turned
ML practitioner
My path started in linguistics at UC Santa Barbara, where I became fascinated by the structure of human language — phonology, semantics, how meaning moves through corpora. That curiosity led naturally toward computational methods and eventually to machine learning at scale.
At Amazon, I design the data systems and evaluation frameworks that help language models behave well. I think carefully about annotation quality, multimodal representation, and what it actually means for a model to "understand" something.
Film photography is the counterweight — slow, deliberate, irreversible. It keeps me honest about seeing.