Computer vision, deep learning, and efficient AI models, with a focus on image classification, object detection, and visual anomaly detection. I develop lightweight neural network architectures and explore retrieval-augmented generation (RAG) for visual inspection. I enjoy building practical AI applications using PyTorch, OpenCV, and YOLO, from model training and evaluation to interactive demos and deployment.