I am an AQA Engineer with 2 years of commercial experience in Python-based test automation.
- Automating API and UI tests
- Working with the Python ecosystem and testing frameworks
- Focused on test stability, readability, and long-term maintainability
- Interested in AI tools, RAG systems, and engineering solutions
- Building pet projects in my free time to better understand technologies
πΉ Casely-Kit
π€ AI-powered test case generator for QA engineers
A tool that uses LLMs to automatically generate test cases based on:
- structured functional requirements
- existing test case examples
π What the project does:
- Generates new test cases from requirements
- Uses existing examples as a quality reference
- Reduces routine QA work
- Suitable for manual QA and test case preparation for automation
π Project structure:
feature-requirements/β functional requirementstest-case-examples/β example test casesgenerated-test-cases/β generated results
πΉ RAG Indexing Tool
π Universal data preparation tool for RAG systems
A utility for indexing documents into a vector database for semantic search.
π Key features:
- Support for multiple document formats
- Data transformation into embeddings
- Integration into LLM pipelines
- Practical exploration of RAG and AI architectures
- π¬ Telegram Suggested greeting message: "Hi! I'm [Your name], I'm [who you are: developer/recruiter/student etc.]. I want to discuss [purpose: project/collaboration/code question/other]."
- πΌ LinkedIn
