Dmitry Legushev

Machine Learning Engineer at Softarex Technologies

Dmitry Legushev has worked as a Machine Learning Engineer at Softarex Technologies, Inc. starting in June 2022. Prior to that, they worked as a Software Engineer specializing in Computer Vision at the same company from July 2019 to May 2021. Before joining Softarex Technologies, Inc., Dmitry worked as a Machine Learning Engineer specializing in Computer Vision at BSVT-New Technologies from December 2017 to July 2019.

Dmitry Legushev completed their Bachelor's degree in Mathematics and Computer Science from Belarusian State University in the years 2015 to 2019. Following this, they pursued a Master's degree in the same field at Belarusian State University from 2019 to 2021. Additionally, they attended Otto-von-Guericke University Magdeburg in 2019 to 2020, although the specific degree obtained during this period is not mentioned.

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Softarex Technologies

Softarex Technologies founded at the dawn of the 21st century in Alexandria, USA, is a software development company, with R&D offices in Minsk, Belarus and Kharkiv, Ukraine.As per Software Magazine 2016 Softarex is among 500 software outsourcing providers in the world.Our richest experience has given us a unique perspective to customsoftware development. Our methodology results in minimal defects in the post-deployment phase and high customer satisfaction. We develop software for following industries:Healthcare•we have 10+ HIPAA certificatesFintech•several own products, incl. financial chatbot, 15+ years of extensive experience•every day we consult thousands of consumers to make smarter financial decisionsIoT•support of all major operating systems, incl. embedded and RTOS's•100 000+ end users are served yearly with our Energy Management SystemWe also have enough knowledge in:Data Science & Computer Vision•100+ published scientific articles in Computer Vision•extensive experience and expertise in implementing Computer Vision algorithms in real-life applications•our developed solutions are implemented in restaurants chains, sports analytics, healthcare, manufacturingMachine Learning•solutions for predicting the condition of patients and their needs for treatment and hospitalization in future•AI-based algorithms for adaptive changes in processing scenarios•sporting analytical solutions for training US baseball team•data analysis for energy sector for prediction utility consumption


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