Itinerary Scoring ML Pipeline

Architected an itinerary scoring ML pipeline achieving 99.4% recall at a 50% index cut, processing 2.6 billion rows daily. Optimized content delivery and booking conversion across airline partners. Identified and resolved throughput bottlenecks by dropping down to C for performance-critical itinerary creation and loading stages of the pipeline.