Taktak Nour

- Rédaction des cahiers de recette et des cas de test adaptés aux besoins métier - Exécution des tests fonctionnels et de non-régression - Suivi et remontée des anomalies via TRAC - Validation des versions avant mise en production - Pilotage de la qualité des livrables pour les évolutions SAP FICO spécifiques

Application of AI for stroke detection from CT scans, for the Ministry of Health of Tunisia. . Collaboration with the medical team for needs assessment and validation of AI model behavior. · Analysis of functional and non-functional requirements in collaboration with the Data Science and Development teams · Design and writing of test cases covering functional scenarios, edge cases, as well as scenarios related to the performance and robustness of the AI model. · Carrying out different types of tests: Functional testing (verification of user flows and AI predictions), Performance tests (image processing time, model responsiveness), Regression testing (following model or data updates), Exploratory testing to identify unexpected behavior. · Preparation and configuration of the test environment, including the integration of AI pipelines, the loading of medical datasets, and the implementation of monitoring tools. · Analysis and validation of annotated datasets (DICOM images), verification of data quality and compliance with clinical requirements. · Active participation in Agile ceremonies (PI Planning, Sprint Planning, Daily Stand-up, Retrospectives) to ensure quality monitoring and contribute to the continuous improvement of the development process.

Project: QA Platform · Designed and developed a QA platform dedicated to the testing and validation of AI applications. · Built the full frontend architecture in React, providing dynamic dashboards for: Bug tracking and resolution metrics. AI model comparison and performance evaluation. Data quality assessment (completeness, consistency, accuracy, generation time). Model training history tracking. Model versioning and deployment traceability (Test/Pre-Prod/Prod). · Integrated OpenAI models to assist in: Automated data quality analysis. Drafting initial QA reports and comparison summaries. Providing insights and suggestions to improve model quality. · Designed database structures to store QA metrics, model deployments, training histories, and customer feedback. · Implemented PDF export functionality for generating professional, auditable QA reports. · Created intuitive multi-selection forms, dashboards with graphs (accuracy trends, bug-solving rates), and real-time status indicators. · Collaborated with data scientists, ML engineers, and QA teams to ensure platform requirements aligned with AI model lifecycle needs. · Enhanced traceability, auditability, and quality control processes for AI projects, improving delivery reliability and customer satisfaction.

Project: ContiUT.AI Client: Continental Toulouse Key Contributions: - Perform functional and data integrity tests to ensure reliable AI outputs - Validate AI models on AWS Bedrock for performance and accuracy - Verify behavior and responsiveness of integrated AI agents in the application - Deploy the project and set up Nginx for redirection - Use AWS S3 to manage and store test datasets - Conduct API integration tests with Postman, ensuring endpoint and data flow validation - Automate API tests using GitLab CI/CD for continuous testing - Collaborate with Data and Development teams to refine models and improve deliverable quality - Follow Agile Scrum practices: task estimation, sprint planning, and retrospectives

Project: CompTest– Internal Project Client/Context: Internal QA Key Contributions: - Execute manual and automated testing on Recruit platform features - Build automation scripts using Selenium (Python) and Computer Vision - Conduct performance testing with JMeter and optimize application behavior - Integrate test automation into GitLab CI/CD, enabling parallel pipeline execution - Maintain and continuously improve the automation process and test framework - Collaborate with developers, Product Owner, and Scrum Master to align testing efforts with product requirements

Project: Focusspace Context: Internal QA – Odoo ERP System Key Contributions: - Test HR and project modules: Employee Management, Time Off, Attendance, Calendar, Project, Tasks - Validate functionality of the Timesheet module across scenarios - Perform diverse testing types: Smoke tests for stability checks Regression tests after updates Integration tests for end-to-end workflows - Ensure business logic accuracy and data consistency - Report bugs and align fixes with development teams - Participate in Agile sprints and retrospectives

Software Tester for Continental Automotive Rambouillet France. Project : BSRF (Box for Radio Frequency dependencies) •Client : Continental Automotive Rambouillet France for PSA. • Analyze user requirements and system specifications from Doors. • Test CAN, CANFD, Ethernet and Diagnostic (UDS) protocols. • Plan, design and implement test cases. • Execute automated testcases via ATP. • Investigate and troubleshoot problems in software as a result of testing using Wireshark. • Report and track defects and inconsistencies to development teams via Jira. • Follow up issues and drive for timely solutions. • Collaborate closely with other team members and departments. • Work with cross-functional teams to find solutions and ensure quality throughout the product and development lifecycle. • Test Levels: Integration Test, Verification Test, non regression test coverage of requirements with writing of test cases automatisation of test cases • Test Types: Confirmation testing (including both Blackbox and Whitebox techniques) Regression testing Maintenance testing •Skills Yocto / Make Eclipse/ Python Linux Autosar •Tools Vector CANalyzer IBM Rational DOORS TEMPPO DLT viewer Automation Test Platform (ATP) Collaborator JIRA Git/Gerrit QTcreator • Protocolos INC (Inter-node communication ) IPC (Inter-process communication) EMP (Ethernet management protocol) TCP/IP UDP UART CAN • Lessons learned : Teamwork, Respecting Deadlines •Methodology Agile