Marija Kekic is an AI Scientist based in Barcelona with a PhD in neutrino physics and nearly a decade of research experience combining scientific rigor with production-focused deep learning and computer vision. She has transitioned academic expertise—model building, hypothesis testing and leading software efforts in large experiments—into industry roles, most recently at AstraZeneca and previously building CV solutions for retail at Everseen. Her work spans the full ML lifecycle from CI/CD and POCs to novel algorithm development, including a published lead-author paper on 3D particle track recognition and a bespoke multi-view object counting algorithm. Comfortable supervising and coordinating cross-functional teams, she brings a strong physics background to hard computer vision problems and a track record of moving research prototypes toward deployable products. Colleagues would note her blend of theoretical depth and practical engineering discipline, plus an inclination to improve software practices in research settings.
8 years of coding experience
4 years of employment as a software developer
Master’s Degree, Theoretical Physics, 10, Master’s Degree, Theoretical Physics, 10 at University of Belgrade
Doctor of Philosophy (Ph.D.), Neutrino Physics, Doctor of Philosophy (Ph.D.), Neutrino Physics at University of Valencia
Contributions:171 pushes, 75 branches in 3 years 4 months
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