Mostafa Alaa Amer
@mostafaalaaamer
Flutter Developer with expertise in mobile application development.
What I'm looking for
I am a passionate Flutter Developer with a strong foundation in mobile application development. My journey began with a Bachelor of Computer Science, where I specialized in Bioinformatics and completed a graduation project that achieved an impressive accuracy of 99.4% in detecting sickle cell anemia using machine learning. This project not only honed my technical skills but also ignited my interest in creating impactful applications.
Currently, I am working at 8com Limited, where I focus on enhancing application performance and implementing clean architecture principles. My previous experience at TOQ For IT involved building applications from scratch and integrating them with Google Maps and APIs. I thrive in environments that challenge my problem-solving abilities and allow me to contribute to innovative projects.
Experience
Work history, roles, and key accomplishments
Flutter Developer
8com Limited
Jul 2024 - Present (11 months)
Refactored applications and implemented enhancements to improve performance and organize projects using clean architecture. Added new features to applications and managed their deployment to Google Play and the App Store.
Flutter Developer
Freelancer
Jul 2023 - Present (1 year 11 months)
Connected Deep Learning Models with applications for live detection, voice recognition, and photo classification. Utilized Cubit for state management and implemented MVVM pattern or Clean Architecture in projects.
Flutter Developer
TOQ For IT
Nov 2023 - Present (1 year 7 months)
Understood existing codebases and implemented enhancements to improve functionality. Developed new features, managed application updates on Google Play and App Store, and built applications from scratch, integrating them with Google Maps and various APIs.
Education
Degrees, certifications, and relevant coursework
University of Fayoum
Bachelor of Computer Science, Computer Science
Grade: A+
Activities and societies: Graduation Project: SK Detector (Grade A+), published to International Journal of AI and Emerging Technology and Research Gate.
Completed a Bachelor of Computer Science with a minor in Bioinformatics. Developed 'SK Detector,' a graduation project that achieved 99.4% accuracy in detecting sickle cell anemia using a machine learning model integrated into a Flutter app. The project involved initiating the app with Flutter and Firebase for authentication, and creating the machine learning model from scratch using Python and De
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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