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I'm Muhammad Zaeem Akhtar, a Flutter developer specializing in cross-platform apps. I deliver production-ready apps using GetX, Firebase, REST APIs, and Node.js, with adaptive UI/UX design and Clean Architecture/MVC patterns to keep code scalable and maintainable. I have hands-on experience with data encryption, local storage optimization, and Git-based workflows. I’ve tested and deployed apps to App Store and Google Play, and I’m currently exploring AI integration with ML Kit and OpenAI.…I'm Muhammad Zaeem Akhtar, a Flutter developer specializing in cross-platform apps. I deliver production-ready apps using GetX, Firebase, REST APIs, and Node.js, with adaptive UI/UX design and Clean Architecture/MVC patterns to keep code scalable and maintainable. I have hands-on experience with data encryption, local storage optimization, and Git-based workflows. I’ve tested and deployed apps to App Store and Google Play, and I’m currently exploring AI integration with ML Kit and OpenAI.

Muhammad Zaeem Akhtar

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

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I'm Muhammad Zaeem Akhtar, a Flutter developer specializing in cross-platform apps. I deliver production-ready apps using GetX, Firebase, REST APIs, and Node.js, with adaptive UI/UX design and Clean Architecture/MVC patterns to keep code scalable and maintainable. I have hands-on experience with data encryption, local storage optimization, and Git-based workflows. I’ve tested and deployed apps to App Store and Google Play, and I’m currently exploring AI integration with ML Kit and OpenAI.…I'm Muhammad Zaeem Akhtar, a Flutter developer specializing in cross-platform apps. I deliver production-ready apps using GetX, Firebase, REST APIs, and Node.js, with adaptive UI/UX design and Clean Architecture/MVC patterns to keep code scalable and maintainable. I have hands-on experience with data encryption, local storage optimization, and Git-based workflows. I’ve tested and deployed apps to App Store and Google Play, and I’m currently exploring AI integration with ML Kit and OpenAI.

Available to hire

I’m Muhammad Zaeem Akhtar, a Flutter developer specializing in cross-platform apps. I deliver production-ready apps using GetX, Firebase, REST APIs, and Node.js, with adaptive UI/UX design and Clean Architecture/MVC patterns to keep code scalable and maintainable.

I have hands-on experience with data encryption, local storage optimization, and Git-based workflows. I’ve tested and deployed apps to App Store and Google Play, and I’m currently exploring AI integration with ML Kit and OpenAI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Urdu

Fluent

Panjabi, Punjabi

Fluent

Work Experience

Flutter Developer Intern at RapidRise Tech

October 1, 2025 - May 1, 2026

Architected Buzz Me Chat App—a full-stack real-time communication platform featuring messaging, audio/video calling, and push notifications, with Firebase-backed performance optimization delivering low-latency user experiences. Engineered Qliko App (Ticktock-inspired social platform) with short-video feeds, live streaming, real-time chat/calling, virtual gifting, user earning systems, encrypted Firebase backups, and optimized local storage for scalability and security. Built Google Play monetization infrastructure (one-time product purchases, coin systems, and live-stream revenue flows) with secure payment pipelines. Developed Zori App using Flutter, Firebase, and Node.js — led complete UI/UX design and backend integration end-to-end. Deployed AI image generation and content moderation pipeline using ML Kit; recognised with promotion to Junior Developer upon successful delivery.

Flutter Mobile App Developer at Infinkey Solutions

May 1, 2025 - September 1, 2025

Delivered 3 production-ready Flutter apps with 99% crash-free sessions and responsive UI across devices. Integrated 5+ REST API with secure authentication and optimized data flow using GetX, improving overall app performance. Implemented bar code scanning & real-time data validation, reducing manual verification errors by 80%. Collaborated with back-end team to optimize API response times, reducing load time by 40%.