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Majed Al-Moalemi

Enterprise Application / CRM / Full-Stack Development

Elevenz CRM — Enterprise Business Management System

Contributed to an enterprise CRM platform across frontend and backend — including an AI-powered quotation import workflow and a measured API optimization that cut database queries from 1,818 to 16.

Private Enterprise Project

Project overview

Contributed to the development and optimization of an enterprise CRM platform using Laravel, Vue.js, Tailwind CSS, and MySQL/MariaDB.

The work includes developing frontend and backend capabilities, improving application architecture, maintaining system functionality, and integrating AI-powered business workflows.

Project context

Elevenz CRM is a private, company-owned enterprise system. I work on it full-time as a Full-Stack Developer at Elevenz in Riyadh, taking business requirements through to delivered features across both the frontend and the backend.

My role

  • Develop features across the frontend and backend, from implementing business requirements to delivering them, using Laravel, Vue.js, and MySQL/MariaDB.
  • Improve architecture, maintainability, and performance through code refactoring, database optimization, and API performance improvements.
  • Develop and integrate advanced capabilities, including AI-powered business workflows and third-party service integrations.
  • Contribute to quality and reliability through automated testing, troubleshooting, and production deployment with Laravel Forge and Cloudflare.

Screenshot of the system running with sample data — no real client information is shown.

Challenges

  1. 01

    Turning unstructured quotation documents — PDF, Word, and Excel files, including scanned PDFs — into structured quotation data.

  2. 02

    Keeping a contract API workflow efficient: in the measured scenario it issued 1,818 database queries.

  3. 03

    Evolving an existing enterprise CRM — improving architecture and maintainability while continuing to deliver new features.

Key capabilities

  • AI-powered quotation import from PDF, Word, and Excel documents (OpenRouter)
  • OCR support for scanned PDFs
  • Background processing with queues and jobs
  • Frontend and backend feature development with Laravel, Vue.js, and Tailwind CSS
  • Code refactoring, database optimization, and API performance improvements
  • Third-party service integrations
  • Automated testing, troubleshooting, and production deployment (Laravel Forge, Cloudflare)

Engineering highlights

  • Featured case study: AI-Powered Quotation Import

    Developed an AI-powered quotation import workflow using OpenRouter to analyze PDF, Word, and Excel documents. The workflow supports OCR for scanned PDFs and background processing through queues and jobs to help populate structured quotation data.

  • 1,818 → 16database queries

    Measured performance achievement

    A measured contract API workflow was optimized, reducing database queries from 1,818 to 16. This is a specific, measured optimization of one workflow — not a claim about the performance of the entire application.

    Measured in:Contract API workflow

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