Rouwayda Elouni

Project description : Design and develop automated testing of an AI promotional planning solution for US retail stores

Automation Engineer (October 2023- currently ):

• Applied Multi-tenancy testing Architecture by adding functions and classes to support Multi-tenancy testing.
• Supported DevOps integration to implement parallel execution and to generate separate Allure report per-tenant
• Participated in test automation code review meetings and provided input on colleagues' coding efforts.
• Monitored emerging test automation frameworks, technologies and best practices for useful developments.
• Reviewed, evaluated, and identified requirements for testability.
• Provided technical advice to improve quality of engineering practices.
• Provided solutions to various technical problems of varying scope and complexity.
• Established clear measurable goals and objectives for projects, prioritizing tasks for team members.
• Created enablers for team members and working on team capacity planning (Sprint Planning and Grooming)

Automation Engineer (November 2022- October 2023):

• Set up automated testing solution with multiple test types: UI end-to-end testing, compatibility testing (Chrome and Safari browsers), visual regression testing..
• Implement behavior-driven development methodology
• Implement automated test scripts
• Build CI pipeline scheduled for running test suite
• Set up notification emails to be sent at end of each run
• Implement real-time reporting solution to improve visualization of test results
• Run manual tests
• Focus Area: Page Object Model, Data Driven Testing, Python,Selenium, BDD, Cucumber, Gherkin, behave, CI/CD, Jenkins,Allure Report, Git , Jira ,Pycharm, Bitbucket,Postman, Requests
• Methodologies : Agile (SCRUM)

• Project description: Creation of ChatBot to help immigrant pregnant women in Canada during their pregnancy by answering their questions in English and French when they need help. It was collaborative work with company "Naitre et Grandir".
• Role: AI Engineer
• Focus Area: Python, Rasa, ChatterBot, NLP, Machine Learning , Visual Studio Code.
• Methodologies: Agile (SCRUM).

• Project description : Creation of unsupervised Machine Learning model which is used to detect real-time anomalies in the company using intensity and current in order to detect failures
• Role: AI engineer
• Focus Area: Python, Jupyter, Anaconda, Anomaly detection, Machine Learning , Visual Studio Code

Project description : Assisted with the team in their daily tasks, such as processing complaints, integrating machines into network and installing programs on company computers

• Management and follow-up of entries in company