Building Payment Personalization and Recommendation Systems
• Contributed to the development and launch of a real-time ranking and decisioning system that predicts purchase likelihood using identity, funding readiness, and friction signals to optimize checkout completion under strict latency constraints
• Supported scaling from pilot to enterprise adoption enabling xxB+ recommendations in 7 months and $xxM+ in annualized transaction impact
• Delivered up to +xx% lift in checkout completions for merchants through controlled experiments, partnering with Eng, ML, UX, and Data Science to define signals and evaluation metrics
• Conceptualized a lightweight, OS-level payment intelligence signal that reduce merchant integration friction, accelerate GTM, top-of-funnel adoption