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mohamedgaaya

Mohamed Gaaya

@mohamedgaaya

QA Engineer

Tunesien
Arabisch, Englisch, Französisch, Deutsch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
A software Engineer student eager to work on a high professional level, I will bring the best to your service. I have a great experience in web and mobile development which will help me achieve the service you aspire in a fast and best possible way.... Mehr lesen

Kompetenzen

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mohamedgaaya
Mohamed Gaaya
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Softwaretests
I will test manually and automatically websites and applications
Ab20 $ / ProjektWeitere Details

Arbeitserfahrung

DunDill

DunDill

Vollzeit • 2 yrs 2 mos

QA Engineer

Jul 2025 - Aug 2026 • 1 yr 1 mo

Performed manual functional testing across all application features and user scenarios. Verified UI/UX accuracy against Figma designs, ensuring pixel-perfect implementation (layout, spacing, colors, backgrounds). Tested all user flows, edge cases, and interaction scenarios to ensure consistency and usability. Reported bugs, UI inconsistencies, and functional issues with detailed reproduction steps. Ensured high-

Fullstack developer

Jun 2024 - Jul 2025 • 1 yr 1 mo

Designed and developed a lightweight ERP system for a large-scale ecommerce acquisition using the MERN stack. Implemented scalable RESTful APIs, Redux state management, and responsive UI/UX. Optimized MongoDB queries, reducing data retrieval time by over 40%. Automated key processes including inventory, order tracking, and CRM.

University_of Duisburg-Essen

Machine Learning Engineer

University of Duisburg-Essen • Vollzeit

Jan 2024 - Jun 2024 • 5 mos

Developed an AI-based distance detection system for containers and forklifts in port environments. Applied computer vision and machine learning algorithms for real-time detection under varying conditions. Managed the full AI pipeline: data collection, preprocessing, model training, and optimization. Built a Flutter-based mobile and tablet dashboard for real-time monitoring, alerts, and analytics. Improved operational safety, efficiency, and collision prevention.