George Chogovadze

Machine Learning Engineer at Agrinorm

George Chogovadze is a Machine Learning Engineer at Agrinorm since September 2021, with a previous experience as a Master Thesis researcher at ETH Zürich, where a deep learning project on semi-supervised image relighting was completed with a commendable grade of 5.75/6. George holds a Master's degree in Mechanical Engineering from ETH Zürich (2018-2020) and a Bachelor's degree in Mechanical Engineering from EPFL (2013-2017). Educational background includes a Baccalauréat général scientifique from Lycée Louis-le-Grand (2011-2013) and completion of early education at Lycée Français de Moscou (2002-2011).

Location

Zürich, Switzerland

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Agrinorm

Agrinorm is the leading software provider for digitizing procurement and quality management in the fresh produce industry. Our SaaS platform makes it easy to manage product quality along the supply chain and uses AI to turn quality reports into actionable insights. Wholesalers, distributors, marketing organizations, exporters, and packers useAgrinorm to optimize costs, increase operational efficiency, reduce food waste, and stay ahead of the competition.


Employees

11-50

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