Freelance Software Engineers in Giza
Freelance Software Engineers in Giza
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Mohamed Aboueldahab
6th of October City, Egypt
Next.js Frontend Engineer with Sanity Expertise
5.0
Rating
4
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Next.js Frontend Engineer with Sanity Expertise
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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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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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Software Engineer
(3)
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Youssef Maged
Masr Al Jadidah, Egypt
Software Engineer
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Software Engineer
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Appointment Reservation & Ministry Management Platform
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12
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EgyCross Assistance Medical Travel Assistance CRM System
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24
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SOCi Surveys V2 Product Development & Platform Optimization
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9
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Software Engineer
(3)
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Mostafa Raafat
Giza, Egypt
Software Engineer | Web-based Apps Solutions
New to Contra
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Software Engineer | Web-based Apps Solutions
1
Smart Clinic Management Web Application This project involves the development of a fully integrated web-based system for managing medical clinics through a fully automated workflow, eliminating the need for a traditional receptionist. The system allows patients to book appointments online بسهولة by selecting their preferred date and time. Upon arrival at the clinic, patients can check in самостоятельно through the system, where they are automatically added to a real-time waiting list based on their booking order. When it is the patient’s turn, entry to the doctor’s session is confirmed by scanning a unique QR code associated with the appointment. This action records the start of the visit within the system. On the doctor’s side, the system provides a dedicated dashboard that enables easy session management. Doctors can start and end consultations with a single click, while the system automatically updates the appointment status in real time. This solution enhances clinic efficiency by organizing workflows, reducing crowding, and accelerating patient flow without the need for manual scheduling or management. The platform features a modern, user-friendly interface and is fully responsive, ensuring a seamless experience across all devices, including mobile phones, tablets, and desktop computers.
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Smart Web Application for Finding Medicines in Nearby Pharmacies A smart web application designed to help users find medicines in nearby pharmacies using geolocation technology. Instead of manually searching, the system automatically sends requests to surrounding pharmacies. The user simply enters the required medications, and the system automatically detects their location and broadcasts the request to multiple nearby pharmacies at the same time. Pharmacies then respond to the request with the availability status of the medicine (available or unavailable), along with the option to provide pricing details. All responses are displayed to the user in an organized manner, enabling them to easily compare and choose the best offer. The system is built on the concept of Broadcast Requests, which saves users time and effort while increasing the chances of quickly finding the required medicine without the need to physically visit multiple pharmacies. Additionally, the platform provides a dedicated dashboard for pharmacies, allowing them to efficiently manage incoming requests and respond in real-time. The system updates request statuses instantly to ensure a smooth and responsive experience. The application features a modern, responsive user interface that works seamlessly across all devices (mobile, tablet, and desktop), ensuring a fast and user-friendly experience. Technologies Used: - ASP.NET Core (Web API & MVC) for backend development - Domain-Driven Design (DDD) to structure and organize business logic - Entity Framework Core for database management - JWT (JSON Web Token) for authentication and security - Clean Architecture for scalability, maintainability, and flexibility
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Modern Recruitment Website Redesign (Concept Project) Redesigned a recruitment agency website to transform an outdated user experience into a modern, conversion-focused interface. Focused on improving the candidate journey by simplifying navigation, introducing clear call-to-action buttons (e.g., “Find a Job”), and optimizing the layout for mobile users. This approach adds value by increasing application completion rates, improving user engagement, strengthening brand credibility, and making it easier for both candidates and employers to take action.
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Portfolio Website Overview The website features a modern UI/UX design with a smooth and intuitive user experience, along with a fully responsive interface that works seamlessly across all devices. The portfolio showcases a brief introduction about me, my technical skills, the services I offer, and real-world projects I have developed, such as a clinic appointment management system and a smart application for finding medicines. Key Features: - Modern design using Glass UI and smooth animations - Fully responsive design for all screen sizes - Professional project showcase with interactive image sliders - Well-structured sections (About, Skills, Services, Projects, Contact) - Fast and seamless user experience
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77
Software Engineer
(2)
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Mohamad Salem
Cairo, Egypt
Software Engineer and Automation Expert
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Software Engineer and Automation Expert
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ArcGIS Automation for Reporting
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6
0
Python Script, CSV Data Wrangling
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8
0
Zappyrent
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32
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Backend Development and AI Integration
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12
Software Engineer
(4)
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Mohamed Gadalla
Cairo, Egypt
Game Developer
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Game Developer
0
The Nikola Game Engine
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6
0
Socrates
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8
1
The Problem Solver
1
4
1
Crossing The Line
1
5
Software Engineer
(3)
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Mikhail Wahib
Cairo, Egypt
Software developer
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Software developer
0
Xpress: A Lightweight HTTP Framework for Rust
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3
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Development of Ra Programming Language
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1
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Vending Machine API Development
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2
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Movibes - movies website
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2
Software Engineer
(5)
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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.
0
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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Taking Next.js to the Edge: Deploying "The Wild Oasis" on Cloudflare 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: Edge Runtime Optimization: Leveraging nodejs_compat to run heavy server-side logic on V8 isolates for near-zero latency. Advanced UX: Implementing useTransition hook along an optimistic update to make an instant, fluid user experience.
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• Engineered an end-to-end Explainable AI (XAI) application for retinal scan classification utilizing transfer learning on a fine-tuned ResNet50 architecture. • Implemented Score-CAM techniques to generate visual heatmaps, ensuring AI diagnostic predictions were interpretable and transparent for medical use cases. • Developed a server using Python and Flask to serve machine learning inference, supported by a PostgreSQL database for reliable data management. • Built a responsive, type-safe user interface utilizing React, TypeScript, and React Query for highly efficient server-state management
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113
Software Engineer
(1)
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Ahmedsami
Giza, Egypt
AI Engineer | Machine Learning | Deep Learning | NLP | LLMs
12
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AI Engineer | Machine Learning | Deep Learning | NLP | LLMs
2
🎬 I built an AI web app that creates short promo videos from just a product link 🔥 Paste a product link → my app (powered by Gemini AI) automatically: Extracts the product info 🧠 Writes a catchy script ✍️ Generates a natural voice-over 🎙️ Creates a ready-to-share promo video 🎥 Built with Next.js + Gemini API , designed for creators, e-commerce owners, and marketers who want to automate video content in seconds 🚀 💡 Want something similar for your brand or startup? Let’s build your next AI-powered project together!
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145
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I built an AI Email Spam Classifier that filters spam automatically — so teams don’t waste time digging through junk mail. 💼 Why it matters: Keeps your inbox clean and organized Protects from phishing & spam Helps you focus on real clients and leads 🧠 Tech: Python, Scikit-learn, TF-IDF, Random Forest 👉 If your business relies on email, I can integrate a custom version to make your inbox smarter.
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task manager
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social media platform
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Software Engineer
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