Souad Ali

5 years of experience Lebanon

QA Automation Engineer with 5 years of experience working with international teams and clients across various industries. Proficient in implementing and managing UI and API automation frameworks using Cypress, Selenium Webdriver, and Robot Framework. Proficient in scripting languages such as Python. Proven track record in improving release management processes, enhancing code coverage, and reducing release hotfixes. Passionate about training and mentoring development teams to achieve higher quality standards.

JavaScript QA Python Java Selenium Elasticsearch Kafka Docker Robot-framework

Experience

Polar Stork
  • - Implemented a variety of UI and API automation frameworks.
    - Trained the development team on creating unit tests using jest.
    - Created comprehensive release management flows and improve both manual and automated testing processes.
    - Created and developed the QA department and trained any new members.

    Accomplishments:
    - Increased unit test code coverage by 40% in Eat OffBeat.
    - Reduced release hotfixes by up to 20%.
  • Technologies: JavaScript, Postman, Detox, Golang, AWS, Accessibility Testing, Internet Of Things, GraphQL, API Testing, Python, Selenium, Robot-framework
Lemonade Fashion
  • - Developed the website, app, and designer portal front using React and React Native.
    - Developed backend server using Python and Flask.
    - Helped in improving the development process
    - Mentored any new developers and members of the team.
  • Technologies: React Native, ReactJS, Flask, SQLAlchemy, AWS, Python
Corporate Security and Intelligence
  • - Developed the front end of the forensic investigation tool.
    - Developed the company's website using WordPress.
  • Technologies: Vue.js, Wordpress, Blockchain

Education

University of Birmingham
American University of Beirut
American University of Beirut

Achievements

Certifications

Setting a Foundation for Successful Test Automation
TestAutomationU Issued Jun, 2020 - No Expiration Date
Credential ID: 787bd01c