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Mohamed O. Azure, ASP.NET Core and Microservices

My name is Mohamed O. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: ASP.NET Core, Web API, Entity Framework, Azure, Blazor, etc.. I hold a degree in Engineer's degree, Associate's degree, Bachelor's degree. Some of the notable projects I’ve worked on include: Enterprise .NET Validation Framework - FlexValidator Library, AI-Powered Inventory System - 95% Forecast Accuracy & Real-time. I am based in Agadir, Morocco. I've successfully completed 2 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • Azure, ASP.NET Core and Microservices

    4 years

  • ASP.NET Core

    1 Year

  • Web API

    3 Years

  • Entity Framework

    2 Years

Additional skills

  • ASP.NET Core
  • Web API
  • Entity Framework
  • Azure
  • Blazor
  • Business Application Maintenance
  • Microservice
  • C#
  • Database Development
  • Software Architecture
  • RESTful API
  • Web Application

Direct hire

Potentially possible

Previous Company

Microsoft Morocco

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Experience Highlights

Enterprise .NET Validation Framework - FlexValidator Library

Built FlexValidator - open-source C# validation library solving complex data validation challenges. Features fluent API design, custom rule engine, and seamless .NET integration. Achieved 90% reduction in validation errors and 50% faster development. Apache 2.0 licensed for enterprise use. Demonstrates ability to create reusable frameworks that other developers adopt, showcasing technical leadership and systematic problem-solving approach for business applications.

AI-Powered Inventory System - 95% Forecast Accuracy & Real-time

Built complete AI-powered inventory management system using .NET 8, Blazor WebAssembly & ML.NET. Features: 95% demand forecasting accuracy, real-time stock monitoring with SignalR, automated low-stock alerts, interactive analytics dashboard, ABC product classification, mobile-responsive design. Technologies: .NET 8 Web API, Entity Framework Core, SQL Server, Chart.js, Bootstrap 5. Results: Reduces inventory costs 20-35%, prevents stockouts, saves 15+ hours/week on manual management. Perfect for businesses needing intelligent inventory optimization with AI predictions.

Education

  • École Polytechnique

    Engineer's degree in Big data & intelligence artificielle

  • Mirleft ISTA

    Associate's degree in Digital programming

  • Université Ibn Zohr

    Bachelor's degree in Computer science

Languages

  • Arabic
  • English
  • French

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