I create cutting-edge IoT and Big Data solutions with robust security and full-stack .NET development at their core, enabling smarter decisions, optimizing operations, and delivering trusted, scalable, and secure systems
I'm a motivated and detail-oriented Artificial Intelligence student with a strong foundation in Internet of Things (IoT), Big Data Analysis, .NET development, and Fortinet Cyber Security. My experience spans developing smart systems, analyzing complex datasets, building full-stack .NET applications, and implementing cybersecurity best practices to deliver secure and efficient solutions. Through academic projects and professional training, I've worked hands-on with IoT devices, big data tools, ASP.NET Core, Web API, React.js, and secure network environments—integrating smart devices, extracting insights from data, and strengthening system protection. I'm committed to continuous learning and professional growth, with the ambition to apply my technical skills to real-world challenges and contribute to innovative, impactful technology solutions.
Years Experience
IoT Projects
Data Projects
Web Projects
.NET Stack Projects
Specialization: Internet of Things (IoT) & Big Data Analysis
2023 - 2027
End-to-end IoT solution architecture including hardware selection, sensor integration, and connectivity design
Full-stack .NET solutions using C#, ASP.NET Core MVC, Web API, SQL Server, Entity Framework, and React.js. Building scalable web applications with modern architecture and best practices.
Scalable data infrastructure design using modern technologies like Hadoop, Spark, and cloud platforms
Advanced analytics, predictive modeling, and machine learning solutions for business intelligence
Modern, responsive websites and web applications built with HTML, CSS, JavaScript, Python, and Django framework, featuring beautiful UI/UX design and optimal performance
Improved command response by 35%, reaching <500 ms latency and 95% control accuracy. Enabled stable wireless communication within 10m range using Bluetooth (HC-05). Enhanced object detection by 100% coverage in 10-150cm range through sensor calibration.
Processed 995K+ user events with PySpark, improving scalability by 30% via parallel ETL. Achieved 96.7% model accuracy using XGBoost for predicting customer behavior. Reduced data pipeline runtime by 30%, and improved insight extraction efficiency by 40%.
A full-featured crowdfunding platform where users can register, create fundraising campaigns, edit or delete their own projects, and browse or search through all campaigns. Features include authentication system, full CRUD operations, custom forms, and date-based project filtering.
A comprehensive Flask-based library management solution with multi-role user management (Admin, Librarian, Customer), advanced book management, digital library cards, streamlined borrowing/returns, book sales, multi-branch support, real-time notifications, and enhanced search capabilities. Features secure authentication, RESTful architecture, and modern UI/UX design.
A classic Top-Down Space Shooter game developed using .NET Windows Forms during the ITI Belts program. Implemented key game development concepts including Object-Oriented Design with distinct Player, Enemy, and Bullet classes, Game Loop & Timers for smooth rendering, Custom Drawing using GDI+ Graphics, Event Handling for responsive controls, Collision Detection with score tracking, and Dynamic Object Management for optimized performance.
A fully functional desktop application developed using .NET Windows Forms during the ITI Belts program. This project demonstrates practical application development skills with complete CRUD operations for managing personal contacts. Features include Object-Oriented Programming with custom Contact class, Data Binding using List<Contact> collection with DataGridView, comprehensive Event Handling for user interactions, and clean UI/UX design for intuitive contact management.
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waleedabdallah238@gmail.com
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