Headline: QA Engineer · AI-driven testing · LLM ecosystems
Currently expanding my skill set in AI-driven testing and LLM ecosystems, with hands-on learning and experimentation in LangChain, LangGraph, MCP, and MCP Evals. I focus on building reliable, maintainable testing solutions and exploring how large language models and evaluation tooling can improve test automation and validation.
- AI / ML fundamentals
- LangGraph
- RAGAS
- DeepEvals
- GraphQL
- Languages: Java, Python
- Cloud tools: Browserstack
- Backend testing: Rest-Assured
- DevOps: CI/CD, GitHub Actions
- Automation tools: Selenium, Playwright, Cypress, Postman
- AI tools: Claude, Cursor, Gemini, Notebookllm
- Test Management tools: Browserstack, Microsoft TFS
- mzadap/LangChain-Media-Narrator — LLM/LangChain-based media narration experiments and pipelines.
- mzadap/github_actions_poc — Proof-of-concept repository for CI/CD workflows and automated testing with GitHub Actions.
- mzadap/Maven-commands — Handy Maven command snippets, examples, and tips for Java projects.
Last updated: 2026-01-03