Applied Scientist II at Amazon from 2021 to 2025, working on applied and research machine learning in production: active learning to accelerate LLM training, and large-scale optimization. Before that, ML Scientist then ML Engineer II at Verisk from 2018 to 2021, shipping applied ML into regulated enterprise where the audit trail matters as much as the model.
That sequence is the whole thesis. The expensive part of replacing a frontier model is not the training run, it is knowing what “correct” means for a specific workflow and proving it before you spend a GPU hour. Protégé productizes that judgment as an eval-gated ladder, and publishes the runs that lose alongside the ones that win.
Angel investor in XYMA Analytics.