Writing

Essays on ML, building products, and systems thinking.

When high performance creates non-intuitive models — enforcing domain knowledge without sacrificing accuracy.

How confident are you that your model performance isn't below 0.75 AUC? A framework for honest evaluation.

Looking at misclassified data points and inferring why your model fails on specific subpopulations.