About

I'm Sara, an ML engineer focused on building practical machine learning systems — from fine-tuning large language models to deploying real-time inference pipelines.

I care about the full stack: solid experimental methodology, clean code, and systems that hold up in production. Most of my work lives at the intersection of NLP and applied ML.

When I'm not training models I'm usually reading papers or contributing to open source.