Ilya Bykhavets

Middle Frontend Developer at Softarex Technologies

Ilya Bykhavets is a skilled Middle Frontend Developer at Softarex Technologies, Inc. since December 2020, with experience in developing, testing, and supporting software across various domains, including AI-enabled products, healthcare, fintech, and e-commerce. Significant contributions include working on a graph-based healthcare knowledge repository and multiple admin panels. Prior experience includes a role as a Trainee Frontend Developer at The Rolling Scopes School, focused on layout standards, JavaScript skills, and React-based Single Page Applications, as well as freelance work in frontend development. Ilya holds a Bachelor's degree in Software Engineering for Information Technologies from Belarusian State University of Informatics and Radioelectronics, completed in 2022.

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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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