Marina Potsi is a machine learning engineer with an MSc in Artificial Intelligence from the University of Edinburgh and over a decade of hands-on experience blending software engineering and ML. She has three years focused on ML in healthcare, notably improving mammography detection with hybrid CNN-Transformer models and contrastive learning to reduce false positives in hospital deployments. Comfortable across the stack, she has built large-scale multi-GPU training pipelines and previously led front-end architecture for web applications using React and Vue. Marina communicates complex technical findings to clinical and technical stakeholders and tutors ML and bioinformatics courses, reflecting a rare mix of research, teaching, and production experience. She’s drawn to biomedical applications and seeks roles where deep model understanding meets real-world impact.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MSc, Artificial Intelligence, 79/100 With Distinction, Master of Science - MSc, Artificial Intelligence, 79/100 With Distinction at The University of Edinburgh
Bachelor's degree, Informatics and Telematics, 8.2/10, Bachelor's degree, Informatics and Telematics, 8.2/10 at Harokopio University of Athens
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