At JD Power, I architect cloud solutions and event-driven microservices for automotive data infrastructure. I designed a platform that transforms unstructured files in AWS S3 through Kubernetes ETL pipelines and serves the data through EC2 REST APIs.
I also integrated custom AI workflows into product offerings, using AI to triage vulnerability logs and generate localized security patches. This work reduced platform CVEs by 30%.
Earlier at JD Power, I developed and maintained customer-facing .NET REST APIs and applications, and used Playwright for automated end-to-end testing. My work has also included IoT data projects with Raspberry Pi and Azure Data Lake, plus reporting and analysis with Power BI, Python, and R.

