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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
Cover image for Enterprise SaaS QA Automation: AI-Powered
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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Cover image for Professional Telegram Bot Testing Framework
Professional Telegram Bot Testing Framework with AI-Powered Reports My role : Senior QA Automation Engineer & Test Framework Architect Project description: Developed a comprehensive automated testing framework for Telegram bots featuring multi-layered testing strategies (API, UI, integration), real-time screenshot capture, and AI-enhanced HTML reporting. The framework includes security validation, performance benchmarking, concurrent user simulation, and professional dashboards with interactive metrics. Built with Python/pytest, it supports CI/CD integration, generates beautiful visual reports, and handles edge cases like multilingual input, injection attacks, and stress testing. Perfect for enterprise bot validation and quality assurance.
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Cover image for AI Bias Detection & Mitigation
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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Cover image for E-commerce Automation Framework My role :
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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QA Engineer(2)