Wael Al-Haddad

is looking for a new team member.

Angestellt, .NET Team Leader, Kubernesys
Dubai, Vereinigte Arabische Emirate

Fähigkeiten und Kenntnisse

Software Development
Computer
IT Application Management
Mobile Development
Information technology
Software
Application
JavaScript
Technology
IT Project Management
Project Management
Server
Code
Leadership
English Language
Computer Science
Python
Programming Language
Team leadership
Database
Computer Networks
PHP
Engineering
SAP
Management
Java
AI
WPF
Desktop
Programming
Object Oriented Programming
Leadership skills
ability to work under pressure
Technical Knowledge
Organizational skills
Flexibility
Web applications
.NET Framework
C#
IPTV
GitLab
REST
PostgreSQL
Entity Framwork
API
Firebase
Platform
Full-stack development
SQL Server
Software framework
SQL
ASP
Visual Studio

Werdegang

Berufserfahrung von Wael Al-Haddad

  • Bis heute 1 Jahr und 10 Monate, seit Nov. 2023

    .NET Team Leader

    Kubernesys

    Led a cross-border team to develop AI-driven security solutions integrated with Genetec SDK. Modernized legacy systems using MVVM and Chromium, replacing Internet Explorer and deprecated components. Delivered custom add-ons, reporting tools, and external integrations. Managed full SDLC with Kanban and GitLab, optimizing performance and maintainability across the codebase.

  • 1 Jahr und 11 Monate, Dez. 2021 - Okt. 2023

    .NET Full Stack & AI Developer

    Arnaco

    Built secure web apps and APIs using ASP. NET Core, EF, and SQL Server. Created a web scraping engine to collect Chinese ecommerce data and generate filtered reports for Western markets. Delivered full e-commerce platforms and mobile apps with. NET MAUI. Built a desktop app for TV channels and broadcast schedules using online data sources. Implemented OAuth 2.0 and ASP. NET Identity for secure access.

  • 2 Jahre, Jan. 2020 - Dez. 2021

    .NET Full Stack Developer (Computer Vision)

    Videolytical

    Developed high-performance CCTV desktop apps using C#, WPF, and FFMPEG. Built a scalable surveillance system for 200+ cameras with real-time streaming, local recording, network rebroadcasting, and motion-triggered automatic recording. Designed smart storage cleanup based on user-defined space thresholds. Evaluated OpenCV, AForge. NET, and Emgu CV for optimal image processing.

Sprachen

  • Englisch

    Fließend

  • Arabisch

    Muttersprache

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