Computer Vision Retrieval for Production Search

Built and deployed a deep learning retrieval pipeline for person re-identification, achieving 96% rank-1 retrieval accuracy on production imagery. Connected model outputs to a user-facing search interface and cloud-backed inference services, contributing to a 33% increase in professional photo sales revenue.

Focus areas: computer vision, image retrieval, production inference, user-facing ML, measurable business impact

Technologies: Python, deep learning, computer vision, retrieval, AWS, Angular