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.
A showcase of my work across software engineering, digital platforms, and AI — from large-scale AEM migrations to GenAI research and custom small language models. Each project reflects my focus on scalable solutions, hands-on engineering, and guiding teams to align technology with business goals, alongside open-source and community contributions.
Dive into a world of creativity and inspiration through my blog. Here, I share insights into my artistic process, design trends, and the stories behind my latest projects.
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.
I draw inspiration from everyday challenges and groundbreaking ideas. For 25 years, I’ve built software, contributed to open source, led teams, and delivered impactful projects from digital marketing with Adobe Experience Cloud to generative AI for software engineering. Now, as a Ph.D. student in AI, I’m driven to shape a smarter, more connected future.