Freelancers using Next.js in 6th of October City
Freelancers using Next.js in 6th of October City
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Ziad Youssef
Cairo, Egypt
UI/3D Designer & Frontend Engineer
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UI/3D Designer & Frontend Engineer
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MKamel Photography Portfolio Website
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20
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BillBite: Streamlining Group Meal Orders
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15
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BlackWhale Immigration: Website
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19
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LumiFriends: E-Commerce
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7
Next.js
(7)
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Abdelfattah Ragab
Giza, Egypt
Senior Software Engineer β’ Payments & Fintech Systems
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Senior Software Engineer β’ Payments & Fintech Systems
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A production frontend case study focused on performance stability, predictable rendering, and controlled behavior as data volume and traffic grow. The work emphasizes understanding client-side caching, state lifecycles, and runtime costs to prevent gradual degradation in long-lived React and Next.js applications.
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Ulomira is a live production web platform where frontend architecture and long-term stability were treated as first-class concerns. The work focused on designing a predictable React / Next.js frontend that scales over time, with clear state boundaries, resilient structure, and maintainable patterns. Rather than optimizing for rapid feature delivery, the emphasis was on reliability, clarity, and frontend behavior that remains stable under real-world usage, ongoing changes, and evolving requirements.
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PayFlowOps β Real-Time Payments Operations Platform A production-grade payments operations platform built with React and Next.js, focused on real-time transaction monitoring, failure detection, and operational visibility. This project simulates real-world payment workflows, including transaction lifecycles, failure scenarios, and live status updates. It emphasizes reliability, performance, and clarity under failure, reflecting challenges commonly faced in fintech and high-volume systems. Key aspects include real-time data handling, resilient UI patterns for degraded states, and scalable frontend architecture designed for operational teams managing payments at scale. Tech focus: React, Next.js, real-time updates, payments, transactions, failure handling, production-oriented frontend architecture.
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PayFlowOps β Real-Time Payments Operations Platform A production-grade payments operations platform built with React and Next.js, focused on real-time transaction monitoring, failure detection, and operational visibility. This project simulates real-world payment workflows, including transaction lifecycles, failure scenarios, and live status updates. It emphasizes reliability, performance, and clarity under failure, reflecting challenges commonly faced in fintech and high-volume systems. Key aspects include real-time data handling, resilient UI patterns for degraded states, and scalable frontend architecture designed for operational teams managing payments at scale. Tech focus: React, Next.js, real-time updates, payments, transactions, failure handling, production-oriented frontend architecture.
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47
Next.js
(4)
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Omar Eltomy
Cairo, Egypt
Artistic Web Developer
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Artistic Web Developer
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Omerey
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7
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A1 Sprinklers
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2
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Dreamea | Interior Design Agency
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5
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My Personal Portfolio
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3
Next.js
(4)
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Mohanad Emam
Cairo, Egypt
Dynamic Web Designer & Developer π
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Dynamic Web Designer & Developer π
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FSLuxembourg - Redesigning a Non-Profit Platform
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Rana Hemdan's Portfolio - A Digital Gallery
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Crescent - Modernizing an Insurance Broker's Digital Presence
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Stay Wild Travel - A Women's Travel Brand & Booking Website
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0
Next.js
(3)
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Mohamed Aboueldahab
6th of October City, Egypt
Next.js Frontend Engineer with Sanity Expertise
5.0
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4
Followers
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Next.js Frontend Engineer with Sanity Expertise
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Real Pros | A Call Center Company Website
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24
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Mohamed Waled's | Portfolio Will Elevate Your Online Presence
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20
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Landing Page | A Demo Landing Page for Your Company or Your App
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24
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Next.js
(1)
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Adham El Samahy
Cairo, Egypt
Full-Stack Software Engineer | Building Modern Web.
New to Contra
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Full-Stack Software Engineer | Building Modern Web.
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Taking Next.js to the Edge: Deploying "The Wild Oasis" on CloudflareΒ A booking application built with Next.js 15, and deployed entirely on Cloudflare Pages. Moving away from traditional Node.js environments to the Cloudflare Edge presented some fascinating architectural challenges that pushed my engineering skills to the next level: Β Edge Runtime Optimization: Leveraging nodejs_compat to run heavy server-side logic on V8 isolates for near-zero latency. Β Advanced UX: Implementing useTransition hook along an optimistic update to make an instant, fluid user experience.
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Alhamdulillah for showcasing the deployment of my Bachelor Project at the German University in Cairo: an Adaptive Computational Thinking Education Platform powered by Machine Learning. The core objective was to engineer a platform that doesn't just serve educational content, but adapts to how a student learns and performs in real-time. To achieve this, I bridged ML with a containerized full-stack architecture. Here is a technical breakdown of the system: Core ML Capabilities * Dynamic Learning Style Adaptation: Engineered Bayesian Networks utilizing pgmpy to continuously infer and update a student's preference between verbal and visual learning. * Adaptive Exercise Difficulty: Implemented a Bayesian model that dynamically serves easy, medium, or hard exercises based on real-time solving time taken. * Struggling Detection: Integrated an LSTM model that monitors coding attempts to provide a guide when a student is supposedly detected to be struggling. System Architecture * Node.js Orchestrator: Serves as the central hub for business logic, database operations, secure user authentication. * Python FastAPI Server: Dedicated to hosting the ML services and managing secure, isolated code execution environments. * React Client: Provides a clean, interactive UI for lectures and active coding exercises. Cloud & DevOps Infrastructure * Azure Container Registry (ACR): Acts as the centralized hub for the deployment pipeline, securely managing the Docker images for both backend services. * Azure Container Apps: Hosts the Node.js orchestrator as a dedicated single instance. * DigitalOcean Droplets: Hosts the FastAPI server, specifically utilizing a Docker-out-of-Docker architecture to safely spawn and isolate containers strictly for executing user-submitted code. #SoftwareEngineering (https://www.linkedin.com/search/results/all/?keywords=%23softwareengineering&origin=HASH_TAG_FROM_FEED) #MachineLearning (https://www.linkedin.com/search/results/all/?keywords=%23machinelearning&origin=HASH_TAG_FROM_FEED) #FullStack (https://www.linkedin.com/search/results/all/?keywords=%23fullstack&origin=HASH_TAG_FROM_FEED) #DevOps (https://www.linkedin.com/search/results/all/?keywords=%23devops&origin=HASH_TAG_FROM_FEED) #React (https://www.linkedin.com/search/results/all/?keywords=%23react&origin=HASH_TAG_FROM_FEED) #Nodejs (https://www.linkedin.com/search/results/all/?keywords=%23nodejs&origin=HASH_TAG_FROM_FEED) #Python (https://www.linkedin.com/search/results/all/?keywords=%23python&origin=HASH_TAG_FROM_FEED) #FastAPI (https://www.linkedin.com/search/results/all/?keywords=%23fastapi&origin=HASH_TAG_FROM_FEED)#SystemArchitecture (https://www.linkedin.com/search/results/all/?keywords=%23systemarchitecture&origin=HASH_TAG_FROM_FEED) #GermanUniversityInCairo (https://www.linkedin.com/search/results/all/?keywords=%23germanuniversityincairo&origin=HASH_TAG_FROM_FEED)#GUC (https://www.linkedin.com/search/results/all/?keywords=%23guc&origin=HASH_TAG_FROM_FEED)
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Pizza Delivery Co. React Router (Data API): Implemented the createBrowserRouter using Loaders and Actions. This shifts data fetching to the routing layer, eliminating fetch-on-render waterfalls and layout jank. Redux: Managed Global UI state and persistent data using Redux, ensuring a single source of truth and predictable state transitions. Clean Architecture: Combined the power of Router Loaders for initial data fetching with Redux for long-term state management, creating a seamless and snappy user experience.
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β’ Engineered an end-to-end Explainable AI (XAI) application for retinal scan classification utilizing transfer learning on a fine-tuned ResNet50 architecture. β’ Implemented Score-CAM techniques to generate visual heatmaps, ensuring AI diagnostic predictions were interpretable and transparent for medical use cases. β’ Developed a server using Python and Flask to serve machine learning inference, supported by a PostgreSQL database for reliable data management. β’ Built a responsive, type-safe user interface utilizing React, TypeScript, and React Query for highly efficient server-state management
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113
Next.js
(1)
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mohamed khaled
Cairo, Egypt
Building Secure, Dynamic Websites with MERN
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Building Secure, Dynamic Websites with MERN
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ETQAN Assessment Platform
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5
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Doctor-appointment-booking
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4
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Task Management Website
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3
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Next.js
(1)
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braa mohamamed
Cairo, Egypt
Full-Stack Developer | Built 2x SaaS | Next.js - Node.js
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Full-Stack Developer | Built 2x SaaS | Next.js - Node.js
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Brospect - B2B SaaS for Outreach Personalization
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1
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Fresh - Personalized Wallpaper Discovery App
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6
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Bee-Well Personal Productivity SaaS
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2
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Next.js
(1)
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