Presentation: SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace

Bruna Pereira: I'm Bruna. I'm a software engineer at DoorDash. Today, I will take you on a story about a system that we built to solve a real safety problem in production, and when it worked, we threw it all away to build something even more powerful. By the end, I want to leave you with two things, how we built SafeChat at DoorDash, and one architectural pattern that you can take home and use at almost any AI use case that you have. I've been a software engineer at DoorDash for one-and-a-half years now. I lead the trust and safety engineering team from our hub in Sao Paulo, Brazil. Before that, I spent three years building my own startup. My background is mostly on FinTech, building highly scalable systems. DoorDash is a marketplace. We have an app that consumers can order food from. We have the Dashers that deliver the food. We have the merchants that prepare the food. These three groups, they can meet in different parts of the journey. They can talk to each other in chat. They can call each other during active deliveries, and of course they can meet in person. For DoorDash, two things…