At Advance Auto Parts, I develop and maintain Spring Boot microservices across service, adapter, and wrapper layers for a B2B commerce platform. I also designed REST APIs and integrated legacy and third-party systems with core commerce services.
I containerized applications with Docker and deployed them to OpenShift and Kubernetes. For production troubleshooting, I use Grafana dashboards and New Relic traces.
As an AI Engineer Intern (POC Developer) with the Advance Auto Parts Artificial Intelligence Team, I built an AI Product Owner assistant that turns business requirements into Jira epics and user stories. Its RAG architecture uses document chunking, text embeddings, and vector similarity search to ground outputs in historical requirements and stories.
I also won the company-wide hackathon with an automated product classification engine. It combined pattern analysis, historical mapping, embeddings, and vector search, and was deployed on Google Cloud Platform for upstream teams to use.
