Work
A selection of data engineering, backend infrastructure, and systems work. Each project includes a technical case study.
5 projects
A production multi-agent AI chatbot for the Dish Network advertisement team, enabling natural-language navigation of the advertisement order processing system via LangChain, LangGraph, and AWS Bedrock.
A centralized, governed Databricks Asset Bundle (DAB) deployment system supporting multi-team, multi-environment bundle promotion — the first automated CI/CD framework of its kind at Dish Network.
Enterprise Machine Learning as a Service platform on AWS — Lambda, API Gateway, SNS, SQS, S3, Athena, RDS, and Apigee — delivering scalable ML model deployment and serving for multiple engineering teams.
An Orchestrated ETL Design Pattern leveraging Generative AI-Driven Development to deliver the first fully AI-generated production project at Dish Network, reducing development time by 50%.
Classification models for Symmetric Positive Definite (SPD) matrices using Riemannian geometry methods, applied to EEG brain-signal data from Brain-Computer Interface systems at Auburn University.