Engineering leader with 17+ years across distributed systems, cloud data platforms, observability, optimization and AI-powered software. I build teams and products from ambiguous problems to production.
A few examples of work spanning data infrastructure, observability and applied AI.
An AI-powered production agent that analyzes, rewrites and tests SQL. Built with a custom Python agent loop, model abstraction and database/search tools; evaluated generated SQL against synthetic data. Delivered roughly 20% cost and performance improvements.
Built a product line from the ground up to enterprise adoption, analyzing billions of queries and helping customers understand and optimize warehouse workloads.
Worked on Oracle's cloud data platform ecosystem across Hadoop, Spark, Hive and data-flow workloads, with a focus on scalable distributed processing.
Led platform engineering for an enterprise language translation platform during the early evolution of modern NLP and cloud-based AI services.
A career moving between hands-on systems engineering, platform architecture, AI and people leadership.
Built and led a 15-member cross-functional engineering organization, including hiring, team development and product delivery across data, observability and AI initiatives.
Led AI/NLP platform engineering and later worked on Big Data and Oracle Cloud Infrastructure, including distributed data-processing technologies.
Built enterprise software foundations and progressed into technical leadership across large-scale systems.
The intersection of engineering leadership and technically difficult platform problems.