AI/ML engineering for multiple deployed apps (GlowAI, Auto IQ Pro, FarmSense, Archer-Travel, CourtAide) involving building ML pipelines and datasets for CV and RAG tasks.
OpenCV AI Kit (OAK)Developed and beta-tested AI/ML computer-vision applications that required creating or integrating model-ready datasets and training/evaluation workflows. The projects incorporated object detection and computer-vision inference pipelines, with user feedback loops from Hawaii pilot users to improve outcomes. Implemented end-to-end MVPs using Python and web backends to support iterative ML development. • GlowAI: camera-based facial condition analysis using OpenCV and YOLOv8 with Claude API recommendations • Auto IQ Pro: YOLOv8-based part detection, fault diagnosis, and parts matching within an automotive workflow • FarmSense: crop health detection using computer vision and anomaly flagging with an IoT-ready API • Archer-Travel and CourtAide: RAG-based assistants using structured JSON outputs and document ingestion for summarization/parsing