flutter_cached_pdfview
A package to show a native PDF view on iOS and Android, supporting Path, Asset, and URL sources with built-in caching. 499+ likes and 133+ stars.
Lead Software Engineer @iStoria — building with Flutter, React, Android, and modern web technologies.
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I'm a Software Engineer who loves turning complex problems into elegant, user-friendly solutions. With a strong foundation in modern technologies and a keen eye for detail, I strive to write clean, maintainable code that makes a real difference.
My journey in software development has equipped me with expertise across various platforms and technologies — from Flutter and Android mobile apps to React and TypeScript on the web. I'm always eager to learn new tools and techniques to stay at the forefront of the ever-evolving tech landscape.
A package to show a native PDF view on iOS and Android, supporting Path, Asset, and URL sources with built-in caching. 499+ likes and 133+ stars.
iStoria is one of the most enjoyable ways to learn English through interesting stories — an affordable, convenient way for students to develop the language. 5M+ downloads.
Reach out by email at [email protected] (preferred), or connect on GitHub and LinkedIn.
Abdelrahman Saed (also known as binSaed) is a software engineer who builds with Flutter, React, Android, and modern web technologies. He is currently a Lead Software Engineer at iStoria.
He is a Lead Software Engineer at iStoria, an English-language learning app, where he builds and leads development of cross-platform mobile and web experiences.
Mobile development (Flutter, Dart, Android, iOS, React Native), frontend (React, TypeScript, JavaScript, Tailwind CSS), backend (Node.js, Python, Firebase, REST APIs, GraphQL), and cloud/DevOps (AWS, Google Cloud, Docker, CI/CD), with an emphasis on clean code, SOLID principles, and TDD.
flutter_cached_pdfview, a popular open-source Flutter package for native PDF viewing with caching (133+ GitHub stars, 499+ pub.dev likes), and iStoria, a story-based English-learning app with 5M+ downloads.
Email is the preferred channel: [email protected]. He is also reachable on GitHub (github.com/binSaed) and LinkedIn (linkedin.com/in/binsaed).
Yes for user-facing answers (ai-input=yes), but not for training AI models (ai-train=no), per the Content-Signal directives in robots.txt. Please attribute the author when quoting.