Graduate rotation across applied science and data engineering. Learnt the shape of a real production data org. The difference between a notebook that runs and a model that earns its keep.
- Prototyped a handful of internal tools that made it to the live stack
- Partnered with applied science on model evaluation patterns
- Got a short, sharp lesson in how much of ML is plumbing