Skip to content
View JohnWayneeee's full-sized avatar
:atom:
:atom:

Block or report JohnWayneeee

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
JohnWayneeee/README.md

Banner


🧠 About Me

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

βš™οΈ Technologies & Tools

🧩 Core stack (daily use)

πŸ›  Used in projects / familiar with


πŸš€ Projects

πŸ”Ή Casely-Kit

πŸ€– 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

πŸ“Œ 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

πŸ“‚ Project structure:

  • feature-requirements/ β€” functional requirements
  • test-case-examples/ β€” example test cases
  • generated-test-cases/ β€” generated results

πŸ“š Universal data preparation tool for RAG systems

A utility for indexing documents into a vector database for semantic search.

πŸ“Œ Key features:

  • Support for multiple document formats
  • Data transformation into embeddings
  • Integration into LLM pipelines
  • Practical exploration of RAG and AI architectures

🌐 Contacts

  • πŸ’¬ 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]."
  • πŸ’Ό LinkedIn

Popular repositories Loading

  1. rag_indexing_tool rag_indexing_tool Public

    Universal utility for indexing documents into a vector database for RAG and semantic search.

    Python 1

  2. Casely-Kit- Casely-Kit- Public

    AI-powered test case generator for QA engineers (LLM + structured requirements)

    1

  3. JohnWayneeee JohnWayneeee Public

    AQA Engineer | Python test automation | API & UI testing | Exploring AI tools and RAG systems