Habiba Salah

I’m a Flutter-focused Software Engineer specializing in cross-platform mobile development. I build scalable, well-structured applications that solve real business needs, and I enjoy collaborating closely with backend and UI/UX teams. I’m especially motivated by AI-powered mobile applications, clean architecture, and applying SOLID principles.

In my current role as a Flutter Developer with a startup, I’m developing an AI-assisted fitness training app across platforms. I collaborate with a team using Git and pull requests for code reviews, and I help shape technical discussions and architecture decisions. I design scalable data models and state management for exercise sessions, then implement features like exercise tracking, session management, and user feedback—while continually improving code quality and maintainability.

My project work reflects the same end-to-end mindset. I developed a Flutter Web geospatial platform (GEE-P) and integrated the frontend with a FastAPI backend for vegetation and climate trend analysis. I also built a mobile image processing app that uploads images to an AI backend service and displays processed results, handling loading states and error responses with a strong focus on responsive UI and API communication.

Beyond mobile development, I deepen my capabilities through machine learning and creative deep learning training, including CNN/RNN concepts and computer vision topics like object detection, segmentation, and pose estimation. I’ve built a hands-based computer vision project that controls sound using detected hand movements, and I completed a Machine Learning immersion covering supervised/unsupervised learning and core modeling techniques. I’m now seeking an internship, junior, or fresh graduate opportunity where I can grow while shipping high-quality AI-enabled products.