I’m Ari Cilingiroglu, an AI & data science professional with hands-on experience building medical imaging models and driving end-to-end ML projects. Recently, I independently developed a model to segment ovarian follicles on MRI, leveraging CNNs, U-Net, and YOLO while handling medical imaging constraints and clinical needs. I enjoy turning complex data problems into practical, high-impact solutions that clinicians can trust.
I’m passionate about collaborating across teams to translate research into real-world healthcare applications, especially in fertility diagnostics and medical imaging. I’m open to opportunities in France and eager to contribute to innovative projects that combine machine learning, software engineering, and domain expertise to improve patient outcomes.
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