Compound AI Systems
Understanding the architecture and components of Compound AI systems that combine multiple AI components to achieve complex tasks beyond what a single LLM can accomplish.
26 years in software engineering and enterprise architecture. Contributor to OpenJDK, Github Copilot, Grok. Ph.D. student in AI.
See my WorkOpen-source work on AI agents in enterprise Java - MCP servers, Helidon integrations, and local model deployment.
Understanding the architecture and components of Compound AI systems that combine multiple AI components to achieve complex tasks beyond what a single LLM can accomplish.
Learn how to build and deploy Helidon MCP servers for the Docker MCP Hub ecosystem. This comprehensive guide covers containerization, orchestration, and integration with the centralized MCP hub for scalable AI microservices.
Explore the architectural design and implementation details of integrating Helidon MicroProfile with Ollama to create AI-enhanced Java microservices. Learn about the Model Context Protocol (MCP) and how it enables seamless AI integration in enterprise Java applications.
For 26 years I have built software, contributed to open source and led engineering teams. My work now is AI agents in enterprise Java - MCP servers, tool safety and local model deployment. I contribute to OpenJDK, github Copilit, Grok and several oss projects. I created The JAQ Stack and founded AiCodingSkills. I speak at conferences. I am a Ph.D. student in AI, where I study how to manage and scale AI systems responsibly. Before this work, I led digital platform delivery on Adobe Experience Cloud for enterprise clients.