Built a full-stack AI-powered product search application that combines CLIP-based visual search with real-time product matching and availability checking. The system enables store employees to upload product images and instantly find similar products using advanced vector embeddings and intelligent ranking algorithms, significantly improving in-store search efficiency.

Worked in a 4-person intern team alongside full-time engineers, participating in Agile sprints, daily standups, and code reviews.

Collaborated on architectural decisions, testing workflows, and production-readiness criteria aligned with client goals.

Received mentorship from engineers across different projects in the company, gaining insights into various technical approaches and best practices.