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Zubair A. Frontend, Mobile and UI/UX Platforms

My name is Zubair A. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: React, React Native, JavaScript, TypeScript, Firebase, etc.. I hold a degree in . Some of the notable projects I’ve worked on include: CattleCare – Smart Livestock App with AI/ML & Real-Time Monitoring, Floty.ai – AI Fleet Management System with Real-Time Tracking, PetzApp – Social Platform for Pet Lovers, Teilim TR – Spiritual Psalms App with Favorites & Progress Tracking, QR & Barcode Scanner App – Fast & Lightweight React Native App, etc.. I am based in Lahore, Pakistan. I've successfully completed 8 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • Frontend, Mobile and UI/UX Platforms

    3 years

  • React

    1 Year

  • React Native

    1 Year

  • JavaScript

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

10Pearls

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Experience Highlights

CattleCare – Smart Livestock App with AI/ML & Real-Time Monitoring

CattleCare is a smart farming app built in React Native, designed for farmers, doctors, and farm owners. It supports adding and tracking cattle with real-time health status updates (Healthy, Critical, etc.), food intake, milk production, and AI-based insights. I implemented live cattle monitoring, search filters, and dashboard graphs using AI/ML for predictive analysis. The app improves farm productivity with actionable insights and multi-role access.

Floty.ai – AI Fleet Management System with Real-Time Tracking

Floty.ai is an advanced fleet management mobile app powered by AI and real-time data. It includes GPS tracking, smart route planning, predictive maintenance, and driver behavior analytics. Additional features include fuel usage insights, playlist manager, vendor gallery, template builder, and weather alerts. Built using React Native, WebSockets, and AWS services, Floty.ai serves 500+ companies with a 99.9% uptime record and 25% fuel savings over 1M+ miles.

PetzApp – Social Platform for Pet Lovers

PetzApp is a social networking app built for pet lovers. Users can create pet profiles, share photos and updates, explore posts, and connect with other pet owners. The app features user account settings, privacy controls, and an intuitive feed-style interface. I developed the full app using React Native and Firebase, implementing animations for smooth user interaction.

Teilim TR – Spiritual Psalms App with Favorites & Progress Tracking

Teilim TR is a mobile app that brings the Book of Psalms (Tehillim) to users for spiritual reflection and daily devotion. I built the app using React Native, with features like chapter-wise reading, daily progress tracking, favorites, and a clean user interface. The app supports both personal prayer and structured readings (7-day or 30-day plans), offering a deeply personal experience with spiritual guidance.

QR & Barcode Scanner App – Fast & Lightweight React Native App

I developed a cross-platform mobile app named Scanner App using React Native. The app enables users to quickly scan QR codes and barcodes, instantly displaying their decoded results within the app. My solution focused on a fast and responsive user interface, real-time scanning, and accurate detection. This project showcases my ability to integrate device camera access, handle data processing efficiently, and build modern, user-friendly UIs.

Education

  • COMSATS Institute of Information Technology

    in

Languages

  • Arabic
  • German
  • English
  • French

Personal Accounts