Systems I've Built
Production Generative AI, MLOps, and data engineering systems — from RAG applications to automation frameworks that save hundreds of engineering hours.
Directed the development of Retrieval-Augmented Generation solutions enabling scalable, context-aware enterprise applications. From the first GPT-3.5 RAG application to three production systems, I led engineering across RAG and non-RAG use cases, assessing technical feasibility and accelerating AI adoption across a Fortune 100 company.
Led the design and delivery of scalable real-time and batch machine-learning models, creating reusable architecture and deployment patterns that accelerated delivery and streamlined lifecycle management — doubling model deployments within one year.
Developed an automation tool to convert SQL Server DDLs to a new data storage solution, eliminating manual migration effort and accelerating platform modernization across the organization.
Built a Neo4j API and frontend to display database hierarchy and improve data visibility for engineering teams, making complex data relationships intuitive and accessible.
Created a robust testing framework enabling automated testing and recreation of tests for future development, improving reliability and reducing regressions across the engineering org.
Designed and implemented automation tools and frameworks that reduced development cycle times and saved hundreds of engineering hours annually across data and delivery teams.