Freelance QA Testers in Tunis
Freelance QA Testers in Tunis
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Molka B
Tunis, Tunisia
AI & QA Automation Engineer | AI Bias Audit& Web/App Testing
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AI & QA Automation Engineer | AI Bias Audit& Web/App Testing
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AI Bias Detection & Mitigation Tool for Hiring Models My role: AI/ML Engineer & Fairness Auditor Project description: AI Bias Detection and Mitigation Framework for Recruitment Systems. Built a complete, production-ready tool that: Detects gender, race, and age bias in hiring ML models Uses industry-standard fairness metrics (Disparate Impact, Demographic Parity, Equal Opportunity) Applies Reweighing mitigation (AIF360) → improves fairness while keeping accuracy loss < 2% Includes interactive Gradio demo for live testing Full business impact section + compliance notes (EEOC 4/5th rule, GDPR, EU AI Act)
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E-commerce Automation Framework My role : Test Automation Engineer (UI & API) Project description: Designed and developed a comprehensive automated testing framework for an e-commerce website. The framework covers UI automation using Selenium WebDriver and Pytest, alongside robust API testing to ensure backend reliability. It enables fast, repeatable test execution with detailed reporting to quickly identify issues.
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AI-Powered QA Automation Suite My role: Senior QA Automation Engineer (Lead) Project description: AI-Powered QA Test Case Generator & Execution Dashboard is a comprehensive, enterprise-level quality assurance solution designed to bridge the gap between AI-driven test generation and robust execution reporting. The suite provides a full-cycle automation workflow: from creating test cases using GPT-4 from natural language user stories to executing them across API and UI layers, finishing with high-impact business metric analysis.
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Enterprise SaaS QA Automation: AI-Powered Testing & CI/CD My role : Senior QA Automation Engineer Project description: Architected and implemented comprehensive test automation framework for enterprise SaaS platform, achieving 92% API and 85% UI test coverage. Developed 230+ automated tests using Pytest and Selenium with Page Object Model design pattern. Integrated AI-powered test prioritization and flaky test detection achieving 95% accuracy. Implemented GitHub Actions CI/CD pipeline reducing regression testing from 2 days to 6 hours (75% reduction). Enabled daily releases while improving production defect detection by 82%. Technologies: Python, Pytest, Selenium WebDriver, GitHub Actions, Docker, Scikit-learn
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Seifeddine El Behi
Tunis, Tunisia
Expert Flutter Engineer | Node.Js Developer
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Expert Flutter Engineer | Node.Js Developer
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