Hello! I'm Seyma, a machine learning engineer specialising in computer vision and machine learning. My expertise lies in developing intelligent systems for image generation, recognition, detection, and segmentation. Throughout my career, I've led and collaborated on projects that transform cutting-edge AI concepts into practical, market-ready products. I'm particularly passionate about ensuring AI fairness, especially in facial recognition systems. This commitment is reflected in my PhD research, which has been published in top-tier ML conferences. Whether working with startups or large teams, I always aim to push the boundaries of what's possible with AI. Interested in discussing computer vision, machine learning or collaborating on a project? I'd be delighted to connect! When I'm not immersed in code or AI research, you might find me on a badminton court 🏸, hiking a scenic trail 🥾, exploring on my Brompton 🚲, or capturing moments through photography 📸.
Developing algorithms in medical image analysis, focusing on AI-driven segmentation and detection for colonoscopy.
Conducted research on mitigating racial bias in facial recognition systems using generative deep learning. Published multiple papers in top-tier machine learning conferences.
Led AI initiatives, taking innovative concepts to proof-of-concept stage, focusing on automation solutions for the hospitality industry.
Worked on advanced machine learning techniques for 3D action recognition and pattern detection in computer vision applications.
Thesis: Towards Fair Face Recognition: Mitigating Racial Bias via Generative Deep Learning
Thesis: Metric Learning-based Action Recognition from 3D Skeletal Data