> whoami
I break software before it reaches production. Detail-obsessed QA Engineer turning bugs into build-passes.
> cat about.txt
Detail-oriented QA Engineer with a passion for hunting down bugs before users ever see them. I combine sharp manual-testing intuition with automation efficiency to help teams ship reliable software, faster.
From writing airtight test cases and exploratory test charters to building Selenium and API test suites wired into CI pipelines, I treat quality as a feature — not an afterthought. I thrive in Agile teams where testing starts on day one, not the day before release.
{
"name": "WAjeh",
"role": "QA Engineer",
"focus": ["Manual Testing", "Automation", "API Testing"],
"tools": ["Selenium", "Postman", "JIRA"],
"languages": ["Python", "C#", "C++", "SQL"],
"certification": "Technological Certification — Systems Planning & Programming",
"based_in": "Jordan",
"status": "Available for opportunities"
}> ls ./skills
> ls ./projects
Full-stack, multi-tenant SaaS for Israeli contractors to build, send and track price quotes. Hebrew/Arabic/English localization with correct RTL, PDF generation, WhatsApp deep-link sending, phone OTP verification, and PayPal-based subscription billing.
Free, browser-based file conversion platform supporting 50+ formats — documents, images, audio and video, up to 100MB — through a drag-and-drop interface. Files are processed client-side and auto-deleted after conversion for privacy.
Interactive multiple-choice exam platform with a countdown timer, instant score calculation and a final results report. Full CRUD for questions, attempts and results.
Real-time dashboard connecting to an external API to display live game server status and data, with Discord OAuth2 login to automatically show each user's rank and permissions.
Backend/DB-focused test suite for a FastAPI + SQLAlchemy service — verifies data written through the API directly against the database with raw SQL, confirms deletes actually remove rows, and tests negative cases like duplicate primary keys and invalid input.
Locust suite simulating a realistic user (login → browse → occasional write, random 1–3s waits) against a live API, reused for both steady Load Testing and 500+ user Stress Testing via scale. Custom thresholds fail the run if avg response time > 500ms or error rate > 1%.
Evaluates LLM/chatbot responses for quality and safety: hallucination/groundedness checks, prompt-injection & guardrail resistance, latency and token-cost budgets, and JSON schema validation for structured output. Allure attaches the exact prompt/response per test.
> whoami --contact
Open to new opportunities, collabs, or just talking shop about QA. Reach out on any channel below.