Freelance Mobile Engineers in Lahore

Freelance Mobile Engineers in LahoreFreelance Mobile Engineers in Lahore

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maxLahore, Pakistan

Full-Stack Dev (Web, Mobile, Desktop) & Chromium Browser Dev

$50k+: Earned

8x: Hired

5.0: Rating

57: Followers

Full-Stack Dev (Web, Mobile, Desktop) & Chromium Browser Dev

Cover image for Expert iOS & Android App Developer | Sociall Unified Social App

Expert iOS & Android App Developer | Sociall Unified Social App

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13

Cover image for Cross-Platform Mobile App Development with React-Native

Cross-Platform Mobile App Development with React-Native

2

24

Cover image for Full-Stack Developer | Chromium Expert | Chrome Extension

Full-Stack Developer | Chromium Expert | Chrome Extension

6

47

Cover image for Chromium Browser Development for enterprise

Chromium Browser Development for enterprise

5

34

Mobile Engineer(2)

proLahore, Pakistan

Full Stack Web & Mobile Dev | Next Js | AI Agent | React

1x: Hired

5.0: Rating

28: Followers

Full Stack Web & Mobile Dev | Next Js | AI Agent | React

Cover image for Chat Buddy – Real-Time Mobile Chat Application Development

Chat Buddy – Real-Time Mobile Chat Application Development

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11

Cover image for Restate - Real Estate Mobile App Development

Restate - Real Estate Mobile App Development

1

7

Cover image for Northward Capital Investment Platform Development

Northward Capital Investment Platform Development

2

15

Cover image for Prodigi Studios

Prodigi Studios

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11

Mobile Engineer(2)

Lahore, Pakistan

Web Designer & Developer | Framer, Webflow & Figma

1x: Hired

15: Followers

Web Designer & Developer | Framer, Webflow & Figma

Cover image for Octoboss: Service Hiring Mobile App

Octoboss: Service Hiring Mobile App

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14

Cover image for MedConnect: On-Demand Telemedicine

MedConnect: On-Demand Telemedicine

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7

Cover image for Base44 "Give it a Glow"

Base44 "Give it a Glow" Competition Submission Project: Bake Me Happy — Artisan Bakery Live Customer URL: https://bakehappy.base44.app/ (https://bakehappy.base44.app/)Live Admin URL: https://bakehappy.base44.app/dashboard 1. The Product Overview What it is: A comprehensive, end-to-end artisanal bakery operating system. 💯 Real-World Utility: Most local bakeries rely on messy WhatsApp chats, manual inventory counting, and phone calls for custom cake orders. Bake Me Happy replaces that chaos with a premium storefront and a highly intelligent backend. 💯 Design Quality: The design utilizes a boutique, minimalist aesthetic that matches the high-end nature of the products. It's fully mobile-responsive and feels like a luxury brand experience. 2. The Automation Depth. Customer-Facing Automations (Revenue & CX) 🚀 3D Cake Customizer & Pricing Engine(Hero): Automatically calculates complex pricing tiers in real-time as users customize their cakes (shape, flavor, layers, custom messages). 🚀 AI Cake Concierge (Superagent): A fully implemented web chatbot that asks customers what they are celebrating and suggests specific cakes from the catalog. 🚀 WhatsApp AI Assistant: A 24/7 automated WhatsApp flow that acts as a virtual cashier—answering FAQs, taking custom orders, grabbing delivery details, and automatically syncing the order to the Admin Dashboard. Business-Facing Automations (Time-Saving & Operations): 🚀 Inventory AI(Hero): Automatically tracks ingredient usage based on orders and generates alerts when stock is critical (e.g., < 3 days remaining), saving the owner hours of manual stock-taking. 🚀 Review AI: Automatically aggregates customer reviews and uses sentiment analysis to categorize complaints (Quality, Price, Packaging) and identify "Taste Trends". 🚀 Bakery Co-Pilot: An admin-facing AI assistant that can instantly generate daily business briefings and competitor intelligence reports. 4. The Story The Before: An Instagram page with 5k followers where custom cake orders were a nightmare of manual DMs, manual price quoting, and guessing when ingredients were running low. The After: An end-to-end luxury storefront and an AI-powered operating system built entirely on Base44 that the business is actively using today! What I built: 🤖 AI Superagent & WhatsApp Bot: 24/7 automated order taking and customer support. 📊 Competitor AI: Automatically tracks local competitor pricing and generates business insights. 📦 Inventory AI: Automatically calculates ingredient burn rates and alerts the owner before they run out of stock. They are saving hours a week, and their customers get a premium, frictionless experience. https://www.loom.com/share/4df48796f863412e997b5559ffc54818

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6

274

Cover image for Vela Bottle — Framer Product Landing Page

Vela Bottle — Framer Product Landing Page

0

7

Mobile Engineer(2)

Muhammad Luqman

Lahore, Pakistan

Helping Startups & SMBs to build Scalable, Impactful Product

5.0: Rating

6: Followers

Helping Startups & SMBs to build Scalable, Impactful Product

Cover image for QuoteSmith

0

6

Cover image for Development of Healing Mosaic Emotional Well-being App

Development of Healing Mosaic Emotional Well-being App

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3

Cover image for Lantern Light: Calm Space

Lantern Light: Calm Space

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7

Cover image for Financial Accounting Assistant – SaaS Web Application

Financial Accounting Assistant – SaaS Web Application

0

2

Mobile Engineer(3)

Lahore, Pakistan

Senior iOS & Full-Stack Engineer - live App Store apps

New to Contra

Senior iOS & Full-Stack Engineer - live App Store apps

Cover image for Three years on a live

Three years on a live mobile-banking app taught me this: fintech iOS is less about fancy UI and more about trust under bad networks. What actually matters in production😍 1. Offline-first for money f CoreData (or equivalent) so amount entry, beneficiaries and recent transfers still work when the radio drops mid-session. Users do not forgive a spinner over their salary. 2. Biometrics without trapping the session. Face ID / Touch ID should gate sensitive actions, not brick the app when the token refresh fails. Always keep a clean password fallback and clear session recovery. 3. Live rates and idempotent transfers. Exchange-rate widgets feel simple until a double-submit or a stale quote hits the ledger. Treat every payment tap as a once-only command with server-side idempotency keys. I spent those years on UBL Tezraftaar — amount entry with live FX, payee management, quick transfers, KYC and biometric login — Swift, UIKit, MVVM, REST, in a regulated environment used by millions. If you are scoping a fintech or payments mobile build, start with the failure modes, not the happy path. Happy to compare notes.

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Cover image for UBL Tezraftaar - mobile banking

UBL Tezraftaar - mobile banking for a major Pakistani bank. Three years as iOS engineer on the customer-facing money-transfer journeys: amount entry with live exchange rate, beneficiary/payee management, quick transfers, KYC onboarding and biometric login, with CoreData offline caching so account and transaction data stays usable on poor connections. Swift, programmatic UIKit, MVVM and REST APIs, in a regulated, security-sensitive environment.

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Cover image for Spent this week wiring AI

Spent this week wiring AI features into production iOS apps - chat assistants, document understanding, and voice-to-summary flows. Three things make or break these integrations. 1. Never ship the API key in the binary. Extracting a hardcoded key from an IPA takes minutes - use a proxy or secure storage. 2. Stream the response. The same feature feels 10x faster when tokens render as they arrive instead of after a long spinner. 3. Cap the spend. Per-user token budgets keep the API bill predictable before the invoice surprises anyone. I have been building fintech-grade iOS apps in Swift and SwiftUI for 5+ years. If you are weighing an AI feature for your app, happy to share what is realistic before you commit a budget.

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Cover image for UBL Tezraftaar - mobile banking

UBL Tezraftaar - mobile banking for a major Pakistani bank. Three years as iOS engineer on the customer-facing money-transfer journeys: amount entry with live exchange rate, beneficiary/payee management, quick transfers, KYC onboarding and biometric login, with CoreData offline caching so account and transaction data stays usable on poor connections. Swift, programmatic UIKit, MVVM and REST APIs, in a regulated, security-sensitive environment.

1

74

Mobile Engineer(4)

Lahore, Pakistan

Full Stack Web & Mobile developer🚀

Full Stack Web & Mobile developer🚀

Cover image for TSP- Fun Learning

TSP- Fun Learning

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7

Cover image for Anytime Practice

Anytime Practice

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20

Cover image for eZFILE (Previously LEAP)

eZFILE (Previously LEAP)

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19

Cover image for Tehreek Shaoor e pakistan

Tehreek Shaoor e pakistan

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19

Mobile Engineer(2)

Lahore, Pakistan

Expert Full Stack & AI Engineer | AI Web & Mobil Apps

Expert Full Stack & AI Engineer | AI Web & Mobil Apps

Cover image for 𝐋𝐨𝐥𝐨 – 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐚𝐧𝐝 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥

𝐋𝐨𝐥𝐨 – 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐚𝐧𝐝 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰 Lolo is a location-based discovery platform built to connect users with nearby services, businesses, and community events. The platform combines an interactive map, visual feed, business profiles, and live local activity to create a real-time local exploration experience. 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧-𝐁𝐚𝐬𝐞𝐝 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 Users can find nearby services, businesses, and events instantly based on their current location for a truly local experience. 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐯𝐞 𝐌𝐚𝐩 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 A visual map interface allows users to explore local places and activities in real time with intuitive and engaging navigation. 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐏𝐫𝐨𝐟𝐢𝐥𝐞𝐬 Detailed business listings include key information, media, and engagement details to help users make informed local decisions. 𝐋𝐢𝐯𝐞 𝐋𝐨𝐜𝐚𝐥 𝐀𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐅𝐞𝐞𝐝 Real-time updates on what is happening around the user keep the discovery experience fresh, relevant, and always current. 𝐂𝐫𝐨𝐬𝐬-𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 A seamless and consistent experience is delivered across both iOS and Android devices without compromise. 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐋𝐚𝐲𝐞𝐫 Users can discover and interact with local community-driven content, fostering genuine connection with their surrounding area. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐀𝐏𝐈 Node.js with Express powers all core platform logic, data handling, and service integrations reliably and at scale. 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐚𝐧𝐝 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 PostgreSQL manages all structured relational data including users, businesses, locations, and activity logs with efficiency and precision. 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 A React Native-based cross-platform app supports both iOS and Android through a single unified codebase for streamlined development and consistency. 𝐔𝐈 𝐋𝐚𝐲𝐞𝐫 An interactive map, feed-based discovery interface, and business profile screens combine to create a seamless and engaging user exploration experience. 𝐌𝐞𝐝𝐢𝐚 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 AWS S3 or Firebase Storage handles all images, business media, and user-generated content securely and at scale. 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 Optimized media rendering ensures fast loading of visual feeds and business profiles for a smooth and responsive user experience. 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐒𝐞𝐜𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 Encrypted communication and secure storage protect all user and business data across every interaction on the platform. 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 The backend is designed to support a continuously growing user base and handle real-time location queries without performance degradation. 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐃𝐚𝐭𝐚 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 Optimized APIs ensure fast loading of map data, activity feeds, and business profiles for a consistently smooth experience. 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 The platform is built for consistent performance across live location-based interactions and real-time updates at all times. 𝐒𝐮𝐦𝐦𝐚𝐫𝐲 Lolo modernizes local discovery by combining real-time location intelligence, interactive mapping, and community-driven content into a single mobile platform. It enables users to seamlessly explore nearby businesses and events while giving businesses a dynamic way to reach local audiences through a unified, scalable, and performance-focused system.

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Cover image for Overview
This mobile-first application is built

Overview This mobile-first application is built with a scalable full-stack architecture, combining a React Native frontend for cross-platform performance with a Node.js backend powered by advanced AI/ML models. Designed with a focus on usability and performance, the app provides artists with an intuitive interface, real-time processing, and cloud-powered infrastructure to support creative workflows at scale. Core Features AI-Driven Visual Creation Text to Image: Convert written prompts into detailed digital artworks. -Voice to Image: Speak your idea and instantly generate visuals. -Image Enhancement (Coming Soon): AI-powered refinement and enhancement of existing images. Recent Creations: Access history of previously generated works. Save & Share: Store and share images effortlessly with integrated options. Cross-Platform Mobile Application Built with React Native and Expo for seamless iOS and Android compatibility. Integrated Lottie animations for dynamic, engaging user experiences. Optimized for speed, accessibility, and smooth interactions across devices. Backend & AI/ML Engine Powered by Node.js with AI/ML models for high-quality image generation. Handles real-time image processing requests with low-latency performance. Scalable architecture to support a growing user base and content library. Infrastructure & DevOps Hosted on Amazon Web Services (AWS) for reliability and scalability. Uses Docker for containerized deployments and environment consistency. CI/CD pipelines ensure continuous updates and feature rollouts. Designed for high-performance computing to process complex AI workloads efficiently. Technical Architecture Frontend: React Native, Expo, Lottie animations Backend: Node.js, AI/ML image generation models Infrastructure: AWS cloud hosting, Docker containers, CI/CD pipelines Deployment: Scalable architecture with performance-optimized workflows Summary AI Generated Images redefines digital creativity by bringing AI-driven art generation to mobile devices. With powerful text and voice input modes, seamless cross-platform support, and scalable AI infrastructure, the platform offers an innovative space for artists and creators to explore new forms of visual expression. Built for performance, accessibility, and growth, it transforms the way people create and interact with digital art.

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Cover image for Authentic Detective – Technical and

Authentic Detective – Technical and Functional Overview Authentic Detective is a dual-platform solution (web and mobile app) designed to authenticate luxury goods with precision, offering peace of mind to buyers and sellers through expert verification and innovative technology. Available on iOS and Android, it provides a seamless experience with NFC-enabled authenticity cards, detailed assessments, and a vibrant fashion forum—optimized for trust, convenience, and community engagement. Key Features Expert authentication of designer bags, shoes, and accessories NFC and QR code-enabled Certificate of Authenticity cards Photo-based submission for professional evaluations Active fashion forum for enthusiasts and connoisseurs Mobile app with chat support from brand experts Verification system to check certificate legitimacy Trusted marketplace for buying/selling verified items Tech Stack Overview Frontend (Web & Mobile) React.js with Material-UI for web responsive design React Native for iOS/Android mobile app with native integrations State management with Redux for both platforms Custom form handling for photo uploads Backend Node.js with Express.js for a unified API serving web and app MongoDB with Mongoose for storing authentication records JWT for secure user authentication Stripe or PayPal for transaction processing in the marketplace Content & Marketing Dynamic blog system for fashion insights (via Next.js + MDX) Headless CMS (e.g., Strapi) for managing forum and guides Push notifications via Firebase for app updates Email campaigns through Mailchimp for user engagement DevOps Deployed on AWS with separate instances for web and mobile APIs CI/CD with GitHub Actions for cross-platform builds Monitoring with Datadog for app performance and user activity Security & Performance End-to-end encryption for user data and photo submissions NFC/QR validation with secure token generation Optimized mobile app for fast load times and offline access to certificates Summary Authentic Detective delivers a secure, stylish, and community-driven authentication experience—powered by a modern MERN-based tech stack across web and mobile.

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Cover image for Jingle – Technical and Functional

Jingle – Technical and Functional Overview Jingle is a smart, family-focused marketplace built on the MERN stack (MongoDB, Express.js, React, Node.js) that empowers parents to buy, sell, or exchange baby and kids’ products using a points-based system instead of money. The platform ensures safety, quality, and sustainability in every transaction. Key Features User-Friendly Onboarding: Personalized welcome screens with guided setup for creating parent and child profiles. Product Management: Upload, organize, and manage baby and kids’ items, with automated verification for safety and quality. Points-Based Transactions: Earn points for uploaded items and redeem them for other products within the marketplace. Multi-Section Interface: Intuitive dashboard for uploaded products, shop browsing, child profiles, and points tracking. Secure Account Creation: Sign up easily using email, Google, or Apple accounts with secure authentication. Real-Time Updates: Receive notifications for product verification, agent visits, and point redemptions. Tech Stack Overview Core Platform Backend: Node.js with Express.js for API handling, product management, and points processing. Database: MongoDB for storing user profiles, child profiles, product listings, and point balances. Frontend React: Dynamic, responsive interface for mobile and web with optimized product browsing and uploads. Media Handling Product Uploads: Secure image and document handling for product listings. -UI Rendering: Optimized layout for both parents and children sections. Security & Performance -Secure Data Handling: Encrypted storage of personal, child, and product information. -Performance Optimization: Fast loading, real-time notifications, and smooth marketplace interactions. -Scalability: Supports multiple users with efficient data and points management. Summary Jingle makes sustainable parenting simple by enabling parents to share, save, and exchange baby and kids’ products through a secure, AI-enhanced, points-based marketplace. The MERN stack-based platform ensures quality verification, personalized recommendations, and a seamless family-focused shopping experience.

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112

Mobile Engineer(4)

Lahore, Pakistan

AI Mobile App Developer | Flutter, Firebase, IAP, GenAI

AI Mobile App Developer | Flutter, Firebase, IAP, GenAI

Cover image for NORRA – Booking Marketplace App:

NORRA – Booking Marketplace App: Payments + Voice Calls NORRA is an on-demand marketplace where users book paid voice sessions with "listeners." I designed, built, and shipped the entire product to beta solo — a cross-platform Flutter app (combined user + listener), a Node.js/Express 5 + PostgreSQL REST API, and a Svelte admin panel. Features: • Stripe hold-then-capture payments tied to the booking lifecycle • Twilio VoIP calls with native iOS/Android push handling • Bookings, ratings, reviews, tips, cancel/reschedule • FCM push, scheduled reminders, SendGrid email, PDF receipts • Swagger-documented API, Jest tests, Docker

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10

Cover image for CelebGen – AI Celebrity Photo

CelebGen – AI Celebrity Photo & Video Generator (iOS, SwiftUI) CelebGen is a SwiftUI iOS app for creating AI photos and videos featuring celebrities, backed by Firebase Cloud Functions. I took over the project as the sole developer and shipped five App Store releases so far (v2.6–continued). I built the Grok-powered image-to-video feature, Snap & Edit, and multi-prompt photo series generation; migrated the backend image pipeline from Replicate to fal.ai (http://fal.ai); and grew monetization with new credit packages, smarter RevenueCat paywall triggers, and moderation-aware credit handling. I also ran onboarding and review-prompt experiments, tracked with PostHog

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Cover image for Razz AI – Flutter AI

Razz AI – Flutter AI Photo, Video & Rap Song Generator App Razz AI is a cross-platform Flutter app (iOS & Android) that turns photos into AI-generated images and videos via 28+ one-tap templates or custom prompts, and transforms chat screenshots into shareable rap songs with karaoke-style playback. Built end to end: Flutter UI with onboarding, paywalls, camera flows, theming, and 5 languages; a Firebase backend (Auth, Firestore, Storage, TypeScript Cloud Functions) orchestrating Fal.ai (http://Fal.ai), Gemini, and ElevenLabs Music; RevenueCat subscriptions and credit bundles backed by a server-side credit ledger, secure webhooks, and PostHog analytics.

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Cover image for Flutter AI Voice Journal App

Flutter AI Voice Journal App – Whisper Transcription & GPT Insights A cross-platform voice journaling app built from scratch over 14 months of iterative client milestones. Users record or import audio notes, get AI transcriptions (OpenAI Whisper, Google Speech-to-Text), and GPT-generated titles, labels, keywords, and summaries. An analysis module runs saved prompts over filtered note sets to surface insights as Markdown reports. Built a provider-agnostic AI middleware, offline-first Hive storage, backup/restore, audio share/import, and credit-based monetization with in-app purchases and bring-your-own-API-key support.

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Mobile Engineer(4)