Anna B. Gómez D.

-Led a team of 4 AI engineers, driving scientific direction and technical decisions across real-time product recognition and AR-based POCs. -Delivered a successful Augmented Reality prototype for in-store ML, coordinating cross-team efforts from data collection to deployment. -Advanced synthetic data generation and active learning strategies to reduce labeling costs and improve model performance.  -Drove integration of research pipelines using Python, Swift, and tools like BigQuery, Google Cloud, and VertexAI. -Worked across edge AI, mobile, and AR domains to deliver innovative, client-driven features at scale.

-Led end-to-end development of computer vision and ML pipelines for retail image analysis — from robotic and static imagery to high-res PTZ systems. -Designed stitching, temporal matching, and OCR engines, enabling dynamic planogram compliance and real-time product recognition. -Developed scalable backend services in Python (Docker, GCP, Kubernetes), including error management flows and micro services. -Contributed to the iOS SDK for multimodal recognition, with parallel OCR and image analysis features built in Swift. -Delivered robust, production-ready solutions integrating cloud, edge, and mobile components.