Building custom AI agents and multi-agent systems for enterprise data analytics - RAG with structured data and powerful semantic search of metadata. Designed a system for parallel function/tool calling, service based multi-agent orchestration, and provider-agnostic LLM completion calls.

Hired 8 engineers and directed the product team to build and deploy the Luz web app, backend, and public API using primarily AWS serverless technologies over the course of only 3 months. Implemented a streaming data pipeline which ingests and processes millions of product records asynchronously each day.

As a data scientist in the KPMG Digital Lighthouse practice, I was focused on designing and implementing ML pipelines and cutting edge AI solutions for a variety of clients, primarily in the Federal government space. I built pipelines on the cloud and on-prem - processing text, image, structured, and unstructured data from a range of different sources.