Vitali Vinahradski has a diverse work experience in software engineering, with roles in various companies. Vitali is currently working as a Senior Software Engineer at Aiven since June 2023. Prior to that, they worked at Amazon Web Services (AWS) as a Software Development Engineer from March 2019 to May 2023, where they were involved in full-cycle development of large-scale distributed tools and services. Before joining AWS, they worked at EPAM Systems as a Lead Software Engineer from March 2018 to February 2019, where they focused on backend Python microservices development and infrastructure for Machine Learning algorithms. Prior to that, they worked at Exadel as a Lead Software Engineer from March 2016 to March 2018, where they specialized in server-side Python scripting and web Python backend development. Vitali also worked at EPAM Systems as a Lead Software Engineer from February 2014 to March 2016 and as a Senior Software Developer from November 2009 to February 2014. In these roles, they were involved in Python/C Linux network server-side middleware development and DNS/DHCP configuration software. Additionally, they have experience working as a Software Developer at SaM Solutions from August 2008 to October 2009, as well as at EPAM Systems from August 2007 to August 2008. Vitali Vinahradski began their career as a Software Developer at Minsk Automobile Plant from August 2005 to August 2007.
Vitali Vinahradski completed their Bachelor of Science degree in Computer Information Systems from Minsk State Higher Radioengineering College. Vitali studied at the college from 2002 to 2005. In addition to their degree, Vitali obtained several certifications related to machine learning and deep learning. Vitali completed the following courses on Coursera: "Machine Learning" in June 2016, "Neural Networks and Deep Learning" in October 2017, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" in October 2017, "Structuring Machine Learning Projects" in February 2018, "Sequence Models" in February 2018, "Deep Learning Specialization" in February 2018, and "Convolutional Neural Networks" in February 2018.
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