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mas76nrm/README.md

Mohammad Masoumi

Senior Full-Stack & Backend Developer | Laravel, Node.js, React | AI Agent Expert | 20+ Years of Experience

📧 mas76nrm@gmail.com 🔗 linkedin.com/in/mas76nrm 💻 GitHub – mas76nrm.github.io


🚀 Professional Summary

Highly Experienced software engineer with over 20 years in system-level programming and 15+ years in web development. Specialized in project management, backend architecture, API design, and scalable web applications using Laminas(Zend Framework), Laravel, Node.js, and modern JavaScript frameworks. Passionate about clean code, performance optimization, and solving real-world problems through technology.


🛠️ Core Skills

  • Backend: PHP (Laravel, Laminas, WordPress), Node.js (Express, NestJS), REST API, C#, Delphi
  • Frontend: React.js, Vue.js, HTML5, CSS3, JavaScript/TypeScript, Bootstrap, Tailwind
  • Databases: MySQL, MongoDB, SQLite, MS SQL Server, Oracle
  • Mobile: React Native, PhoneGap, Native Android (Java), iOS (Swift, Obj-C)
  • DevOps & Tools: Git, Docker, RESTful APIs, WebSocket, Linux, Nginx/Apache
  • Other: AI Agents (AG2), VoIP systems, CRM development, ERP integration, custom CMS, Agile, Unit Testing, UML

💼 Professional Experience

Senior Fullstack Developer & Project Manager

Freelance / Multiple Clients — 2010–Present

  • Designed and developed over 30+ web and mobile applications, including CRM, ERP, and e-commerce systems.
  • Built scalable backend APIs using Laravel and Node.js, integrated with frontend React.js applications.
  • Led teams of 3–7 developers, managing projects with Agile methodologies.
  • Delivered software solutions for government, telecom, and private sectors in Iran.

Software Developer

Tehran IT Companies — 2005–2022

  • Developed desktop and embedded applications using C++, Delphi, and .NET.
  • Worked on image processing projects with OpenCV and custom algorithms.

🎓 Education

  • M.Sc. in Software Engineering – Azad University, Iran

📚 Publications & Research

  • An Approach to Classification of Open and Closed-Shell Pistachio Nuts Using Image Processing (International Journal)
  • Efficient Algorithm for Pistachio Grading Based on Image Processing

GitHub Stats

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