Mary Grygleski builds generative AI and event streaming architectures as a technical advocate at AI Collective. Originally a Unix/C engineer, she moved to Java over two decades ago and focuses on multi-agent systems and real-time data workflows.
She explores how developers can adopt modern data pipelines. Her talk on event messaging with Apache Pulsar unpacks cloud-native scaling, while her session on understanding vector search details how to mitigate data staleness using RAG.
On the community side, Mary runs the local Chicago Java Users Group.
