M. Waleed Tahir

Developed computer vision systems using advanced image processing (segmentation, contour detection) to extract structured insights and recognize patterns in complex clinical imagery and documents. Designed scalable data pipelines for processing large-scale records, enabling real-time analytics and anomaly detection. Architected automated vision pipelines pairing traditional algorithms (OpenCV) with state-of-the-art deep learning and Vision LLMs, demonstrating the ability to build highly accurate and reliable visual recognition systems. Collaborated with multidisciplinary teams to deploy AI models in production environments, prioritizing efficient inference and practical workflows. Contributed to the full AI lifecycle, from exploratory algorithm development and model optimization to deployment and continuous performance evaluation.