Summary
Nina Žižakić is a Machine Learning Engineer based in Ghent with eight years of experience bridging academic research and production ML. She holds a PhD in machine learning for computer vision and has applied unsupervised deep learning to biomedical imaging, virtual art restoration, and explainable skin lesion detection before moving to industry at In The Pocket. Comfortable with both research and engineering, she has supervised master students, taught AI tutorials, and maintained research infrastructure while shipping models and pipelines for real-world use. Early software roles in backend and Android development give her a pragmatic, full-stack sensibility, and her top academic grades hint at strong mathematical rigor underpinning her work. An intriguing thread through her career is applying cutting-edge computer vision methods to cultural heritage and life sciences, signaling a talent for cross-disciplinary problem solving.
8 years of coding experience
5 years of employment as a software developer
Student exchange, Computer Science, Student exchange, Computer Science at Paderborn University
Bachelor's Degree, Computer Science, 9.96/10.0, Bachelor's Degree, Computer Science, 9.96/10.0 at University of Novi Sad, Faculty of Sciences
Gymnasium "Jovan Jovanović Zmaj" Novi Sad
Doctor of Philosophy - PhD, Machine learning for computer vision, Doctor of Philosophy - PhD, Machine learning for computer vision at UGent
Serbian, English, French, German, Dutch