Design, build, and operate the online feature store and real-time ML serving systems. Develop batch and streaming data pipelines, optimize Postgres schemas for low-latency feature serving, improve reliability, scalability, and observability, and partner with Data Science and product teams to deliver production-grade solutions. Mentor junior engineers and contribute to architecture and code-quality practices.

Lead end-to-end data science initiatives including designing, deploying, and monitoring production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain production pipelines and monitoring systems to drive measurable business impact.