Software Engineer | ERP & Business Systems | Data & AI Background
Riyadh, Saudi Arabia
I am a Software Engineer at MERP, working on ERP and business systems. I contribute to developing and improving business workflows by connecting software implementation with system requirements, data, testing, and quality.
My current experience includes React and TypeScript interfaces connected to REST APIs, role-based permissions, business rules, automated testing, requirements analysis, and technical documentation. I also participate in pull request reviews, architecture and system documentation reviews, and cloud-readiness reviews.
My background in database programming, data science, and artificial intelligence helps me understand systems from both software and data perspectives.
- ERP workflows across procurement, inventory, facilities, assets, and maintenance
- Frontend development with React and TypeScript
- REST API integration and server-backed interfaces
- Requirements analysis, business rules, and acceptance criteria
- Role-based permissions and workflow states
- Automated testing and pull request reviews
- Technical documentation and system-readiness reviews
| Area | Technologies and Practices |
|---|---|
| Software Development | React, TypeScript, JavaScript, HTML, CSS, Python, Kotlin |
| Business Systems | ERP Systems, Requirements Analysis, Business Rules, Role-Based Permissions, Acceptance Criteria |
| APIs and Data | REST APIs, SQL, Database Design, FastAPI, Pandas |
| Engineering and Delivery | Git, GitHub, Pull Requests, Automated Testing, Docker Fundamentals, CI/CD Fundamentals, Cloud Fundamentals |
Contributing to the development and improvement of ERP workflows, including procurement, inventory, facilities, assets, and maintenance. My work includes API-backed interfaces, requirements analysis, permissions, testing, and technical documentation.
An AI-powered Arabic educational platform that helps high school students prepare for the Qudrat exam. The project uses Python, FastAPI, Large Language Models, Retrieval-Augmented Generation (RAG), OCR, and databases.
A data science project that analyzed more than 17,000 tourism reviews using NLP, LDA topic modeling, and LSTM sentiment analysis, with an interactive Streamlit dashboard.
My bilingual portfolio showcasing my professional experience, technical background, and selected projects.