Maksim Korolyov

VP Of Engineering at Softarex Technologies

Maksim Korolyov has a strong background in software engineering and technical leadership. Maksim has worked in various roles at different companies since 2011.

From 2011 to 2014, Maksim worked as a Software Engineer at Up "Gomeloboi".

In 2014, they joined Sberbank-Technology as a Lead Software Engineer, where they worked on a project involving generating credit documentation and integrating with CRM systems. Their responsibilities included working with JavaEE, GWT, Spring, Hibernate, JavaScript, XSLT, IBM Forms, and EMC xPression.

In 2016, Maksim moved to JLLC "System Technologies" as a Java Developer. Maksim was involved in developing the backend systems for remote banking services for both legal and individual persons. Maksim also worked on a demo version of the remote banking service.

Currently, Maksim is working at Softarex Technologies, Inc. Since 2018, they have held the roles of Delivery Manager and most recently, Head of Department. Further details about their current role are not provided.

Maksim Korolyov pursued their education from 2009 to 2013 at Belarusian National Technical University. During this time, they earned a Specialist degree in IT Software.

Location

Warszawa, Poland

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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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51-200

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