Raghd Anaam

I’m a recent Software Engineering graduate and hands-on software engineer focused on full-stack development, AI, and data analytics through academic projects and internship experience.

In my internship at SICPA Product Security Sdn. Bhd, I executed and analyzed automated test cases for mobile applications using Appium, Selenium, and Cucumber, investigating failures and troubleshooting issues to improve automation reliability in an Agile Scrum team.

I build data-driven products end-to-end: for SKINVISION, I developed a Flask backend and Vue.js frontend with a SQLite database, applying OpenCV preprocessing and EfficientNet CNN models with TensorFlow/Keras, then visualized trends in Tableau-style dashboards.

I’m also comfortable with system design and analytics workflows, demonstrated through my Research Grant System (Laravel/PHP/MySQL with role-based access and full CRUD) and Energy Consumption Analytics Dashboard work using Tableau to structure datasets and support visual decision-making.