Notes
Blog
- paytrail: building a payments warehouse A governed medallion lakehouse over 6.3 million synthetic payments, no fraud model by design. Every figure traces back to its source, and a Databricks benchmark I ran came out 39% faster, for a reason I did not expect.
- Free Lunch: What I Learned Building a Recommender That Optimises for Two Things at Once I built a two-stage recommender with a tunable engagement/diversity trade-off. This is what went wrong, what I found out, and why the Pareto curve turned out to be a single step rather than a gradient.
- Feature Importance Stability in AutoML Forecasting How SHAP feature rankings compare across near-optimal models, within a training window and as it moves forward in time.