QA Engineer | Manual & Automation | CI/CD | AI-Assisted Test Automation
$ npx playwright test --project=career Running 6 tests using 1 worker β experience βΊ 9+ years in QA, manual + automation β statflo βΊ regression pass rate 34% β 100% β statflo βΊ repo size 26 GB β 80 MB β servicetitan βΊ post-release issues β25% β research βΊ 3 IEEE QoMEX papers published β contact βΊ open to new opportunities 6 passed (9+ years)
What I'm currently exploring
Owning a Playwright/TypeScript end-to-end suite at Statflo, along with its GitHub Actions pipelines, Allure reporting, and Slack regression notifications.
On the side, I'm still exploring how AI coding agents can speed up test authoring and flaky-test diagnosis without lowering the bar on reviewable, maintainable test code.
Open-source testing frameworks and automation demonstrations
Latest GitHub Actions run on main for each project, fetched live from the GitHub API.
Modern test automation framework leveraging Playwright with AI-powered test generation and execution capabilities.
Advanced GenAI-powered test automation showcasing LLM-based test case generation and intelligent test data creation.
Comprehensive manual testing repository with test cases, checklists, and QA best practices documentation.
View Project βRESTful API testing framework demonstrating comprehensive API validation, integration testing, and automation patterns.
View Project βComplete TestRail configuration and integration guide for test management and reporting workflows.
View Project βProblem: The end-to-end regression suite was passing only 34% of the time, so a red run said nothing about whether the release was actually broken.
Approach: Resolved race conditions and timeouts, added configurable parallel worker scaling (1β6) in CI, built Allure reporting with historical trends and automated Slack regression reports, and wrote spec-level test contracts enforced in CI to prevent documentation drift.
Result: Regression pass rate improved from 34% to 100% with all flaky tests eliminated, and repository size dropped by 99.7% (26 GB β 80 MB), improving pipeline clone and checkout times.
Problem: Hand-writing and maintaining Playwright scripts for every new scenario slows down regression coverage as a product grows.
Approach: Built an open-source tool that takes a plain-English scenario ("As a user, I want to log in with valid credentials") and uses Google Gemini to generate a runnable JavaScript Playwright test, including selectors, navigation, and assertions.
Result: New scenarios go from spec to a running test in minutes instead of hand-writing boilerplate. Generated output is kept honest with a two-track CI setup: a reviewed example runs on every push with a live public report, while raw, unreviewed Gemini output only runs as an opt-in manual job β so the badge never reflects code nobody's looked at.
View source βComprehensive skill set across testing, automation, and quality assurance
9+ years building quality into software products
Computer Science degrees and professional certifications
Technische UniversitΓ€t Berlin
2017 - 2021
National College of Business Administration & Economics
2010 - 2014
Published research in Virtual Reality and User Experience
Research exploring the impact of hand tracking interactions on user experience in VR environments, contributing to the understanding of natural interface design in immersive systems.
Comparative study analyzing emotional responses between Head-Mounted Display and traditional screen viewing of 360Β° content, providing insights for immersive media design.
Investigation of optimal text rendering parameters in VR environments, examining readability factors critical for comfortable extended reading experiences in virtual spaces.
Available for QA Engineering opportunities and collaborations
Follow my work and let's connect on professional networks