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Mariia Shvedchenko

Angestellt, Softwareentwicklerin Applikation, corpuls | GS Elektromedizinische Geräte G. Stemple GmbH
Munich, Deutschland

Fähigkeiten und Kenntnisse

Git
Java
SQL
Spring Framework
MySQL
CSS
HTML
C/C++
Softwareentwicklung
REST
Docker
Backend
Database
Computer Science
Software
Algorithm
Data Structures
Team work
Reliability
Commitment
Communication skills
Scala
java
Spring Boot
Telemedicine
Microservices
Angular
Bash (Unix shell)
Gradle
docker
Flexibility
willingness to learn
Full-stack development
Web applications
Strong personality
Scrum
JavaScript
TypeScript
C++
MongoDB
React

Werdegang

Berufserfahrung von Mariia Shvedchenko

  • Bis heute 1 Jahr und 11 Monate, seit Aug. 2023

    Softwareentwicklerin Applikation

    corpuls | GS Elektromedizinische Geräte G. Stemple GmbH
  • 10 Monate, Sep. 2022 - Juni 2023

    Junior Software Developer

    sidion GmbH

    * Worked collaboratively with a team of developers to design, develop, and maintain web applications using Java, Spring Boot, and React. * Developed and maintained REST APIs to support the front-end web application and ensure high performance and scalability. * Utilized automated testing frameworks to ensure code quality and reliability. * Actively pursued continued learning opportunities to improve skills and knowledge in Java, Spring Boot, and React.

  • 1 Jahr und 4 Monate, Apr. 2021 - Juli 2022

    Scala and Python backend developer

    Wolkov Consulting

    * Engaged in the design and development of services and API for a startup project in a team of seven. * Providing automatic testing for services in the project. * Basic technologies: Scala3, Cats Effect, http4s, MongoDB.

  • 5 Monate, Juli 2020 - Nov. 2020

    STEP SWE Intern at Chrome Autofill Team

    Google Germany GmbH

    * Developed a nice way to provide patterns from data storage to a client, which helps the system to be flexible and accelerated the way to apply changes for chrome autofill for 1 day instead of 7 weeks as it were before. * Designed and developed a new way for storing patterns that have a crucial role in the matching process for autofill. * Studied how to optimize and refactor a huge range of code on the example of Chrome codebase, by applying and improving my knowledge of C++.

Ausbildung von Mariia Shvedchenko

  • 3 Jahre und 11 Monate, Sep. 2018 - Juli 2022

    Mathematics and Computer Science

    V. N. Karazin Kharkiv National University

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