Nadezhda Prodanova

Senior Machine Learning Engineer at Feebris

Nadezhda Prodanova is a Machine Learning Engineer at Feebris, where they are part of a team focused on improving access to healthcare. Prior to joining Feebris in 2022, Nadezhda co-founded Articlett in 2019, where they worked until 2022. Nadezhda also worked as a Working Student at Daimler TSS from 2019 to 2021, developing computer vision machine learning tools for autonomous driving and the automotive industry. Additionally, Nadezhda gained experience as a Working Student at Capgemini in 2019. Nadezhda started their career as a Student Research Assistant at the University of Karlsruhe, where they worked on projects related to medical data analysis and developing cross-platform applications for visually impaired students.

Nadezhda Prodanova has a strong educational background in computer science. Nadezhda obtained a Bachelor's degree in computer science from the Karlsruhe Institute of Technology (KIT) in 2018. Following that, they pursued a Master's degree in computer science from the same institution, graduating in 2021. During their Master's program, they also completed a Master Thesis in Machine Learning at ETH Zürich in the year 2021.

In addition to their degrees, Nadezhda Prodanova has obtained additional certifications. In 2012, they received a Certificate in Advanced English (C1) from Cambridge Assessment English. In 2013, they obtained the Deutsches Sprachdiplom Stufe II (DSD Niveau C1), which is a German language diploma awarded by Das Deutsche Sprachdiplom der Kultusministerkonferenz.

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London, United Kingdom

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Feebris

Feebris’ team combines expertise in biomedical engineering, machine learning, global health and business. More importantly, they are unreasonably passionate about our vision to transform healthcare globally and make it equitable, personalised and patient-driven.


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11-50

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