Elijah ben Izzy
Elijah has always enjoyed working at the intersection of math and engineering. More recently, he has focused his career on building tools to make data scientists and researchers more productive. At Two Sigma, he built infrastructure to help quantitative researchers efficiently turn ideas into production trading models. At Stitch Fix he ran the Model Lifecycle team — a team that focuses on streamlining the experience for data scientists to create and ship machine learning models. He is now the CTO at DAGWorks, which aims to solve the problem of building reliable AI systems through open source software. In his spare time, he enjoys geeking out about fractals, poring over antique maps, and playing jazz piano.
Sessions
In this talk we present the OS library Burr -- a tool that makes it easier to build reliable, production-ready AI applications and agents. We will show how to use Burr to address a host of production concerns problems including generating test data from prior runs, interactive debugging, persisting/loading application state, and more.