Rakesh Kumar

Rakesh Kumar, a Senior Staff Software Engineer at Lyft with a focus on Machine Learning platforms, dives into the intricacies of real-time feature generation. He discusses how Lyft evolved from naive pipelines to handling millions of events per minute, achieving low-latency delivery. Rakesh emphasizes balancing self-service and specialized data processing while navigating the challenges of geospatial data. He also shares insights on technology adoption and how YAML configurations streamline data processing efforts. This session is a treasure trove for anyone interested in MLOps and real-time data management!