I am a results-oriented QA Automation Engineer in training with a strong technical foundation in Cloud Infrastructure and Backend Development. My journey into IT started with deep dives into Python and AWS, giving me a unique perspective on how software should be built and tested.
- AWS Cloud Development: Successfully implemented 10 modules covering Serverless (Lambda), Databases (DynamoDB/RDS), SQS/SNS, and BFF patterns.
- Python Engineering: Solid experience with backend logic, algorithms, and data structures.
- Frontend Basics: Strong understanding of DOM structure and web layout, crucial for effective UI automation.
- CSS Meme Slider with Autotests: Designed and implemented an automated UI testing solution for a static web application. Built a Selenium + Pytest test suite with reusable fixtures and integrated it into GitHub Actions CI to validate pull requests before deployment.
- Backend-for-AWS-2023: A full-scale serverless backend implementation with authorization and cloud-native services.
- Library Project: A responsive multi-page website with custom JS logic for sliders and user interaction.
- RS School (JS/FE): Intensive training in core JavaScript and modern web standards.
I am currently specializing in QA Automation (Python/Selenium). My goal is to apply my DevOps and Backend background to build high-performance automated testing solutions.


