I'm a senior mobile software engineer with over 7 years of experience in building scalable and fast mobile infrastructures. I have built more than 20 apps for clients that are being used by thousands of users daily.
Feel free to reach me via email at nabil6391@gmail.com or call me at +601161981135. You can also find me on LinkedIn and Medium.
Flutter GraphView is used to display data in graph structures. It can display Tree layout, Directed and Layered graph. This is useful for Family Tree, Hierarchy View.
A custom SwipeRefreshLayout that shows a Lottie View on top instead.
Quran Tajweed Highlighter in Java.
A Dart utility to convert Flutter Strings to ARB format.
An Islamic application built in collaboration with Greentech Apps Foundation.
A Cross-Platform file downloader for Flutter with resumable, parallel, and batch download support. Also be notified of download status and progress updates.
- Programming Languages: Java (7y+), Kotlin (4y+), Dart (3y+)
- Backend: Golang (1 y), Django (1 y)
- Tools: Docker, Git, Gitlab, GitHub, Bash
- Frameworks: Android, Flutter, iOS, React
- Other: GraphQL, Next.js, NLP
(Huggingface), Appium, Jenkins
- Led an agile team of 5 Android Developers.
- Introduced a foundation for the advanced project editor for the app.
- Improved performance of the photo picker using kotlin coroutines, reducing time taken by 50%.
- Initiated an early adoption for jetpack compose for faster UI development.
- Implemented CI/CD with Jenkins to run automated Daily UI tests.
- Reduced app size from 21mb to 4mb using proguard and other optimization techniques.
- Integrated MOL payment gateway (Malaysia) and Poli payment Gateway(Australia).
- Wrote maintainable Java/Kotlin code using MVVM architecture, with a focus on security and privacy.
- Led a team of 2 Android Developers, 1 iOS developer, and a Django Backend Developer.
- Developed 5+ Android apps from scratch, one of them has 650K active users monthly.
- Deployed a Flutter app in Desktop and Mobile with a shared codebase.
- Implemented push notifications, resulting in a 20% increase in user engagement.
- Tested using Espresso, JUnit4, and Firebase test lab to achieve 99% crash-free sessions.
- Leveraged native NDK (C++ code) to render Arabic text in pre-kitkat devices.
- Integrated with Firebase Auth for easy user Authentication.