Wilbert Andrew Yonathan

Passionate about Artificial Intelligence, Machine Learning, Computer Vision, and Deep Learning, with a particular interest in efficient AI architectures, image classification, object detection, and visual anomaly detection. I enjoy developing and optimizing neural networks, exploring reinforcement learning, and building practical AI applications using PyTorch, OpenCV, and YOLO. I'm also expanding my knowledge of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multimodal AI, and autonomous AI agents. My interests span the entire AI development lifecycle, from data preparation and model training to evaluation, interactive applications, and cloud deployment.