@michele_sayers

Michele Sayers engineers AI software systems and speaks at enterprise technology conferences, focusing on cloud-native architecture, Kubernetes implementations, and GitOps methodologies. Her conference circuit includes mainstage presentations at KubeCon, CloudNativeCon, and GitOpsCon, where she shares technical insights on service mesh patterns and Istio deployments. Each speaking engagement produces documented materials including slide decks and session recordings, archived for community access. Her technical presentations cover Python development, AI engineering workflows, and machine learning operations in cloud environments. She delivers workshops at the Women in AI Summit and DevUp conference, specializing in LLM agent development and MLOps infrastructure. These sessions bridge theoretical concepts with hands-on implementation guidance for production environments. As an open source contributor, Sayers develops content at the intersection of cloud infrastructure and artificial intelligence. She creates technical documentation and implementation guides for platform engineers deploying cloud-native applications. Her work spans developer experience optimization, infrastructure automation, and practical cloud architecture patterns.