I am a Mobile App Developer with strong expertise in building cross-platform applications using Flutter and Firebase. I have hands-on experience with cutting-edge technologies like OpenStack, Kubernetes, and CI/CD pipelines, along with knowledge in AI integration. I excel at transforming UI/UX designs into functional and scalable mobile applications. In addition to my development skills, I have a solid background in DevOps, having deployed and managed cloud infrastructure and automated various processes to improve efficiency. My passion lies in creating innovative software solutions that are both user-friendly and robust, leveraging the latest tools and methodologies.

Muhammad Azlan

I am a Mobile App Developer with strong expertise in building cross-platform applications using Flutter and Firebase. I have hands-on experience with cutting-edge technologies like OpenStack, Kubernetes, and CI/CD pipelines, along with knowledge in AI integration. I excel at transforming UI/UX designs into functional and scalable mobile applications. In addition to my development skills, I have a solid background in DevOps, having deployed and managed cloud infrastructure and automated various processes to improve efficiency. My passion lies in creating innovative software solutions that are both user-friendly and robust, leveraging the latest tools and methodologies.

Available to hire

I am a Mobile App Developer with strong expertise in building cross-platform applications using Flutter and Firebase. I have hands-on experience with cutting-edge technologies like OpenStack, Kubernetes, and CI/CD pipelines, along with knowledge in AI integration. I excel at transforming UI/UX designs into functional and scalable mobile applications.

In addition to my development skills, I have a solid background in DevOps, having deployed and managed cloud infrastructure and automated various processes to improve efficiency. My passion lies in creating innovative software solutions that are both user-friendly and robust, leveraging the latest tools and methodologies.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Language

English
Fluent
Urdu
Fluent
Panjabi, Punjabi
Fluent
Hindi
Advanced

Work Experience

DevOps Intern at DenseFusion
July 1, 2025 - Present
Deployed an OpenStack multi-node setup and managed Kubernetes clusters. Built CI/CD pipelines and automated infrastructure provisioning. Monitored system performance and implemented access controls to secure the environment.
Flutter Developer at RapidsAI
June 1, 2024 - Present
Developed cross-platform mobile apps using Flutter, Firebase, and custom backends with REST APIs. Implemented scalable state management using Provider and converted Figma designs into responsive applications.
Tech Intern at SiberKoza
May 1, 2025 - September 1, 2025
Created digital content with Canva and supported IT infrastructure. Proposed and implemented improvements to technology operations.

Education

Bachelors of Computer Science at University of Gujrat
January 11, 2030 - May 1, 2025

Qualifications

Flutter Developer | NASTP Kharian
April 1, 2025 - September 1, 2025
Developing Mobile Apps with Flutter Specialization | Coursera
June 1, 2025 - September 1, 2025

Industry Experience

Software & Internet
    uniE608 WheCan Count: AI Beetle & Wheat Bud Detection
    WheCan Count is a Flutter-based mobile application that enables farmers to monitor crop health in real time by detecting beetles and counting wheat buds directly from field images. Powered by an AI-driven detection model, the app processes captured or uploaded photos to identify pest presence and assess wheat growth stages. Detection outputs use center-based coordinates, transformed with precise scaling to ensure bounding boxes and markers align perfectly with the original image on any device, without distortion or drift. Its user-friendly interface allows quick photo capture, image preview, and secure local storage of results, with options to share or review past detections. Recent enhancements fix vertical flip alignment issues, correct scaling mismatches, and lock coordinates after mapping for consistent accuracy. By combining pest detection and wheat bud counting in a single platform, WheCan Count empowers farmers to make timely, data-driven decisions, improving yield protection, reducing losses, and streamlining field inspection workflows—all in an intuitive, portable mobile solution designed for on-field use. Flutter Firebase Dart MobileAppDevelopment CrossPlatform AndroidDev iOSDev MarketplaceApp EcommerceApp OLXClone ClassifiedsApp BuyAndSell MVPDevelopment RealTimeChat SecureMessaging AppDesign UIUX FigmaToFlutter ScalableApps StartupTech
    uniE621 WheCan Count: AI Beetle & Wheat Bud Detection
    WheCan Count is a Flutter-based mobile application that enables farmers to monitor crop health in real time by detecting beetles and counting wheat buds directly from field images. Powered by an AI-driven detection model, the app processes captured or uploaded photos to identify pest presence and assess wheat growth stages. Detection outputs use center-based coordinates, transformed with precise scaling to ensure bounding boxes and markers align perfectly with the original image on any device, without distortion or drift. Its user-friendly interface allows quick photo capture, image preview, and secure local storage of results, with options to share or review past detections. Recent enhancements fix vertical flip alignment issues, correct scaling mismatches, and lock coordinates after mapping for consistent accuracy. By combining pest detection and wheat bud counting in a single platform, WheCan Count empowers farmers to make timely, data-driven decisions, improving yield protection, reducing losses, and streamlining field inspection workflows—all in an intuitive, portable mobile solution designed for on-field use. Flutter Firebase Dart MobileAppDevelopment CrossPlatform AndroidDev iOSDev MarketplaceApp EcommerceApp OLXClone ClassifiedsApp BuyAndSell MVPDevelopment RealTimeChat SecureMessaging AppDesign UIUX FigmaToFlutter ScalableApps StartupTech
    uniE608 ChatOn – A Real-Time Firebase Messaging App
    This chat application is built using Flutter and Firebase to provide a fast, secure, and real-time communication experience. It enables users to create accounts, personalize their profiles, search for other users, and engage in private one-on-one conversations. All messages are stored in the Firebase Realtime Database, ensuring that users can access their complete chat history anytime. The app is designed with a modern and user-friendly interface, making messaging smooth and efficient. 🔑 Key Features Explained 1️⃣ Secure User Authentication & Profiles Integrated with Firebase Authentication for safe login and registration. Users can sign up using email (extendable to Google or other providers). Each user can set up and personalize their profile. Ensures only authenticated users can access the chat system. 2️⃣ User Search & Profile Viewing Users can search for others by their username. Search results appear in real-time, thanks to Firebase queries. Before starting a chat, users can view basic profile details of others. Helps build connections and keeps the chat environment organized. 3️⃣ Private One-on-One Messaging Supports instant message delivery using Firebase Realtime Database. Every message is synchronized in real time across devices. The entire conversation history is stored, so chats are never lost. Clean and intuitive conversation interface Flutter Firebase Dart MobileAppDevelopment CrossPlatform AndroidDev iOSDev MarketplaceApp EcommerceApp OLXClone ClassifiedsApp BuyAndSell MVPDevelopment RealTimeChat SecureMessaging AppDesign UIUX FigmaToFlutter ScalableApps StartupTech
    uniE608 Selvic An Online MarketPlace Platform
    Selvic is a mobile marketplace application developed for a Belgian client, inspired by OLX, and built to connect local buyers and sellers seamlessly. I developed the app using Flutter for a smooth cross-platform experience and Firebase for a reliable backend. The project began with a manual prototype to validate the concept before moving to full development. Selvic features: Product Listings – Post, browse, and manage items with ease. Advanced Search & Filters – Quickly find relevant products. Real-Time Chat – Secure, instant communication between buyers and sellers. Image Uploads – Add multiple product photos for better engagement. User Authentication – Secure sign-up and login to protect user data. The UI/UX was designed to be clean, intuitive, and user-friendly, catering to a broad audience. Built as a scalable MVP, Selvic’s structure ensures smooth future feature expansions while maintaining performance and stability. With a modern design and clear navigation, Selvic empowers users to buy and sell items locally with confidence—offering a premium marketplace experience on mobile. Flutter Firebase Dart MobileAppDevelopment CrossPlatform AndroidDev iOSDev MarketplaceApp EcommerceApp OLXClone ClassifiedsApp BuyAndSell MVPDevelopment RealTimeChat SecureMessaging AppDesign UIUX FigmaToFlutter ScalableApps StartupTech
    uniE608 Find Doctor Easy Appointments with AI Integration
    I developed a Doctor’s Appointment System using Flutter as the core framework, designed to provide patients and doctors with a seamless, efficient, and intelligent healthcare management solution. The app offers an intuitive and user-friendly interface, ensuring patients can easily book, manage, and track appointments in real-time. 🔹 Core Features: User Authentication & Profiles: Secure sign-up/login for both patients and doctors with Firebase authentication. Appointment Booking: Patients can browse doctors by specialty, availability, and ratings, then book appointments instantly. Doctor Dashboard: Doctors can manage their schedules, approve/reject requests, and view patient details. Real-Time Notifications: Integrated push notifications for confirmations, reminders, and updates. Medical Records & History: Patients can access and track past consultations and prescriptions. 🤖 AI Integrated Module: Smart Recommendations: Suggests suitable doctors based on patient’s symptoms, history, and availability. Automated Scheduling: AI optimizes appointment timings to reduce waiting times. Predictive Insights: Helps doctors with data-driven insights for patient care. 💡 This project demonstrates my expertise in Flutter, Firebase, and AI integration, focusing on real-world problem solving with scalable, secure and modern healthcare solutions. aiapp flutterapp mobileapp mvp aiapp aiflutterapp