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Hi, I'm Mutaz Abumahfouz, a Flutter Developer and Software Engineer based in Amman, Jordan. I build cross-platform mobile and web apps from a single shared codebase, delivering scalable solutions for Android, iOS, and the web. I'm proficient in Dart, Firebase (Firestore, Auth, Cloud Functions), BLoC/Riverpod, Python, and ML tooling (TensorFlow/Keras), and I enjoy mentoring junior developers and shipping clean, maintainable code.…Hi, I'm Mutaz Abumahfouz, a Flutter Developer and Software Engineer based in Amman, Jordan. I build cross-platform mobile and web apps from a single shared codebase, delivering scalable solutions for Android, iOS, and the web. I'm proficient in Dart, Firebase (Firestore, Auth, Cloud Functions), BLoC/Riverpod, Python, and ML tooling (TensorFlow/Keras), and I enjoy mentoring junior developers and shipping clean, maintainable code.

Mutaz Abumahfouz

App Developer, Web Developer, Full Stack Developer, +2

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Hi, I'm Mutaz Abumahfouz, a Flutter Developer and Software Engineer based in Amman, Jordan. I build cross-platform mobile and web apps from a single shared codebase, delivering scalable solutions for Android, iOS, and the web. I'm proficient in Dart, Firebase (Firestore, Auth, Cloud Functions), BLoC/Riverpod, Python, and ML tooling (TensorFlow/Keras), and I enjoy mentoring junior developers and shipping clean, maintainable code.…Hi, I'm Mutaz Abumahfouz, a Flutter Developer and Software Engineer based in Amman, Jordan. I build cross-platform mobile and web apps from a single shared codebase, delivering scalable solutions for Android, iOS, and the web. I'm proficient in Dart, Firebase (Firestore, Auth, Cloud Functions), BLoC/Riverpod, Python, and ML tooling (TensorFlow/Keras), and I enjoy mentoring junior developers and shipping clean, maintainable code.

Available to hire

Hi, I’m Mutaz Abumahfouz, a Flutter Developer and Software Engineer based in Amman, Jordan. I build cross-platform mobile and web apps from a single shared codebase, delivering scalable solutions for Android, iOS, and the web.

I’m proficient in Dart, Firebase (Firestore, Auth, Cloud Functions), BLoC/Riverpod, Python, and ML tooling (TensorFlow/Keras), and I enjoy mentoring junior developers and shipping clean, maintainable code.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Arabic

Fluent

English

Fluent

Work Experience

Flutter Developer at Amrk

August 1, 2021 - March 1, 2026

Architected responsive, pixel-perfect Flutter apps for Android, iOS, and Web from a single codebase, reducing development overhead by ~40% versus native implementations across multiple product releases. Built a real-time data synchronization layer using Firebase Firestore and Cloud Functions, supporting 10k+ concurrent users with <200ms latency. Developed a reusable Flutter UI component library deployed across 3+ client apps, reducing UI development time by 25% and ensuring full Material Design adherence. Established modular Flutter architecture using BLoC/Riverpod for state management, enforced coding standards and CI workflows, and conducted code reviews to raise code quality. Led cross-functional collaboration with design and backend teams, accelerating average feature delivery by 20%; mentored 2+ junior developers on clean architecture and testing best practices.

Developer Student Clubs Lead at Google / Zarqa University

July 1, 2020 - July 1, 2021

Led a university-wide developer community of 60+ students, organized workshops on Machine Learning, Data Science, and mobile development; delivered 10+ technical sessions; spearheaded a team project that competed in a global Google developer competition.

Flutter Developer Intern at AppTrainers

February 1, 2021 - April 1, 2021

Built and tested mobile UI components for client applications using Flutter; delivered two feature modules ahead of schedule, contributing to a 15% faster sprint completion rate.

Machine Learning Intern at InstaDeep Ltd

August 1, 2020 - October 1, 2020

Built and evaluated supervised learning models with TensorFlow/Keras, achieving 85%+ accuracy; applied transfer learning to image classification tasks, reducing training time by 30%.