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.
Videos
Building Scalable Multi-Agentic AI Systems in Java: Orchestrating Agents with Event-Driven Approach
Mary Grygleski ยท The AI Collective
Europe Virtual ยท 2026
