With over 20 years in data, AI, and analytics, I work at the intersection of Snowflake, cloud architecture, and applied machine learning to turn complex, messy data into production-grade systems that drive business outcomes. My career has spanned business intelligence, data engineering, and data science, giving me end-to-end ownership from data ingestion and modeling through to dashboards, AI services, and executive-facing narratives.
Explore how context engineering is essential for transforming AI agents from experimental prototypes to reliable production tools in DevOps. Understand its impact on automation workflows, accuracy, and scalability ...
Discover how model context protocol (MCP) powered agentic AI is transforming DevOps by enhancing resilience and efficiency in cloud-native environments. Learn about the challenges, benefits, and real-world applications of autonomous multi-agent systems ...