Yevheniia Rakhmatova
Back End Developer at Qodeup
Vinnytsia, Vinnytsia Oblast, Ukraine
Summary
👤
Senior🎓
Top SchoolYevheniia Rakhmatova is a Back End Developer with a decade of software engineering experience, specializing in Node.js and full-stack JavaScript solutions while also building Electron desktop apps. She has delivered production systems and CI/CD pipelines for client projects, implemented Firebase backend features and security rules, and contributed to SAP documentation tooling by enhancing link, content and code-block validation. Previously she worked at EPAM designing APIs, mentoring engineers, and contributing to testing and automation, and has hands-on data science experience in NER for scanned documents. Comfortable switching between product delivery and tooling, she pairs practical problem-solving (including hobbyist C/C++ challenges) with a linguistics background that helps in documentation and metadata quality work.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree Applied Linguistics, Master’s Degree Applied Linguistics at Donetsk National University
English, Ukrainian, Italian
Stackoverflow
333reputation
24kreached
5answers
8questions
Github Skills (17)
javascript10
testing10
regular-expression10
qtest10
nodejs10
test-automation10
class-transformer6
x-editable6
android6
angularjs6
expo6
permission6
react-native6
angular-translate6
nestjs6
Programming languages (8)
Github contributions (5)
sap-tutorials/Tutorials
Jul 2018 - Oct 2020
Tutorials on sap.com
Role in this project:
Back-end Developer & QA Engineer / Test Automation Engineer
Back-end Developer & QA Engineer / Test Automation EngineerContributions:172 commits, 115 PRs, 7 pushes in 2 years 3 months
Contributions summary:Yevheniia primarily focused on improving the test tool used for validating documentation in the repository. Their contributions involved refactoring the link checker, adding checks for various aspects such as broken links, author profiles, and incorrect file links. The user also addressed issues related to code block validation and syntax, enhancing the tool's ability to identify and report errors in the documentation. They also worked on the content and metadata checkers.
saptypescript
mygod1980/al-library-web
Jan 2017 - Jun 2017
Contributions:12 PRs, 55 pushes, 12 branches in 4 months
machine-learning
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