Reza Karimzadeh

I am a Ph.D. candidate in Computer Science at the University of Copenhagen with hands-on experience in computer vision and deep learning across both academic and applied settings. My work focuses on building reliable, end-to-end machine learning systems, with expertise in 3D medical image analysis, object detection, self-supervised learning, and explainable AI.

I have designed and implemented models ranging from YOLO-based detection pipelines to large-scale 3D segmentation and contrastive learning frameworks, taking projects from data preparation and preprocessing through model development, evaluation, and reproducible implementation. In parallel, I have industry experience developing production-oriented vision systems and leading small technical teams in interdisciplinary and international environments, and I am seeking a role where strong ML engineering and problem-solving skills can be applied to real-world products with an emphasis on robustness, interpretability, and impact.

Outside of research, I enjoy solving mechanical puzzles, exploring new technologies, and studying psychology and human behavior.