Principal Solutions Architect - Databases & Agentic AI @AWS
Bridging the worlds of databases and AI to help organizations build intelligent, data-driven applications. Speaker, author, and open source advocate.
I'm a Principal Solutions Architect at AWS, helping organizations build the next generation of agentic AI applications with databases as their foundation.
I specialize in Aurora PostgreSQL, pgvector, and Amazon Bedrock - helping teams build agentic AI systems that autonomously interact with databases. From RAG applications to multi-agent orchestration, I'm passionate about making databases the intelligent backbone of agentic AI systems.
Catch my talks at AWS re:Invent, PGConf, and on the AWS Database Blog.
Amazon Aurora 
PostgreSQL 
pgvector 
Amazon Bedrock Open source work and side projects
Enterprise-ready Generative AI use cases powered by pgvector, Amazon Aurora PostgreSQL, Amazon Bedrock, and AWS MCP servers
ClickShop: Demo showing agentic architecture evolution from single agent to multi-agent systems with Aurora PostgreSQL and MCP
AWS re:Invent 2025 workshop: Build agentic AI-powered search with Aurora PostgreSQL, pgvector, and multi-agent orchestration
AWS re:Invent 2025 workshop: Hybrid search with Aurora PostgreSQL combining fuzzy matching, semantic search, and MCP integration
Cookbook for building AI agents with PostgreSQL
Personal website - Databases, agentic AI, and everything in between
Recent conference sessions and presentations
Learn how to build scalable, serverless chatbot applications using Amazon ElastiCache for caching and Amazon Aurora PostgreSQL with pgvector for semantic search and AI capabilities.
Celebrating 10 years of Amazon Aurora with a retrospective on key innovations, architectural decisions, and the future roadmap for AWS's cloud-native relational database.
A comprehensive guide to replacing Oracle database features when migrating to PostgreSQL, covering high availability patterns, stored procedures, and extensibility options.
Technical articles and insights
Learn how Netflix consolidated their relational database infrastructure on Amazon Aurora, resulting in significant performance improvements and operational efficiency.
Explore the latest pgvector 0.8.0 features and learn how to supercharge vector search performance and relevance on Amazon Aurora PostgreSQL.
Discover how FundApps successfully migrated from SQL Server to Amazon Aurora Serverless v2 using Babelfish for Aurora PostgreSQL.
Interested in collaborating, speaking opportunities, or just want to chat about databases and AI?
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