Led the rearchitecture and buildout of a modern ML platform that enabled the development and deployment of 140 predictive models focused on health consumer behavior. Designed scalable training pipelines, a centralized feature store, and automated model serving infrastructure that accelerated the delivery of production-grade models across the organization. The platform established a unified foundation for reproducible experimentation, model governance, and real-time inference — empowering data science teams to predict and influence consumer health engagement at scale.