On June 16 I’ll be on stage at Databricks’ Data + AI Summit 2026 in San Francisco, co-presenting some of the work my team has been doing at lululemon.
The short version: our CRM data science team runs PAVE, an ML platform that scores millions of guest profiles to personalize marketing. And like a lot of real-world ML, the most time consuming part was never really the models - it was everything around them. Data scientists were spending their days babysitting deployments instead of building, and good work took far too long to reach production.
So the talk is about how we changed that:
- parameterized pipelines (DABS) that anyone on the team can ship,
- an enterprise feature store on Unity Catalog,
- MLflow 3.0 to unify how we track and promote models,
- and where we think agentic AI takes all of this next.
I’m genuinely excited - and a little humbled - to share it on a stage like this. If you’ll be at the Summit, please come say hi. And if you can’t make it, I’ll post takeaways here afterward.
Either way, I’d love to connect.
