Architect and implement full-stack solutions for both internal platforms and customer-facing products. Design and scale backend services that enable robust ML model deployment and build deployment infrastructure that runs seamlessly across cloud and on-premise environments. Develop interfaces that make complex ML systems accessible and usable, establish workflows that accelerate ML research-to-deployment cycles, and collaborate closely with Product and ML teams to iterate quickly and effectively.