Computer Engineer with 10+ years of experience in software development, currently serving as CTO at NASH AI and Board Member at multiple technology companies. Passionate about AI Safety, AI-Assisted Development, and building reliable, production-ready systems.

• 🏢 CTO - NASH AI (Fitness & Health Mobile Application)
• 🎯 Board Member - NASH, HAFIZ, TAG PAY
• 🔬 Independent Researcher - AI Safety in Software Engineering

Single Source of Truth for AI-Safe Product Development

An independent research framework addressing critical challenges in AI-assisted software development:

• ✅ Versioned Truth Contracts - Preventing AI hallucinations in code generation
• ✅ Automated Consistency Validation - Ensuring design-to-code traceability
• ✅ Zero-Drift Detection - Maintaining requirement integrity
• ✅ CI/CD Enforcement Gates - Figma → Code integration with automated validation

Research Contributions:

• Built on SWE-agent, ChatDev, MetaGPT, and multi-agent collaborative frameworks
• Addresses AI safety, governance, and constraint-based code generation
• Production-ready implementation for mobile app development (React Native, Node.js)

Leading technology strategy and development for a fitness and health mobile application:

• Overseeing technical architecture of AI-powered health solutions
• Leading cross-functional teams in R&D of cutting-edge AI technologies
• Managing full-stack mobile app development with AI integration
• Strategic planning and execution of technology roadmaps

• PHP Laravel, Next.js, Python, Firebase cloud-based backend development
• SQL & NoSQL database management
• Web and mobile application maintenance
• Content Management Systems integration

• ERPNext (Frappe framework) implementation and administration
• Business process analysis and ERP needs establishment
• System enhancements and performance optimization
• Technical support and end-user training

• C# / .Net Developer (2016-2018)
• System Operator / Help Desk Support (2018-2019)

Innovative mobile payment platform with automatic discount application, NFC/QR payment integration, and unified wallet system.

AI-powered fitness and health mobile application with personalized health recommendations.

Research framework for AI-safe software development with 14-stage pipeline preventing AI hallucinations.

• Amneen - School trip management mobile application
• Anjad Business Intelligence - Radiological equipment inspection management system
• Mortgage Application Management System
• Qsawer Maintenance Operations Management System
• Green Operations Management - Healthy food restaurant management
• Lawyer Web App - Legal consultation booking platform

Python C++ C# JavaScript HTML5 CSS PHP

SQL SQL Server MySQL NoSQL PostgreSQL

React.js Next.js Vue.js Laravel Frappe Firebase .NET MVC Entity Framework

Multi-agent Systems AI-Assisted Development Constraint-Based Code Generation Hallucination Detection

MCP (Model Context Protocol) Figma API CI/CD Automation Automated Consistency Validation

Linux Windows

1. AI Safety in Software Engineering

   • Preventing hallucinations in AI-assisted development
   • Ensuring traceability and consistency in AI-generated code

2. AI-Assisted Development Workflows

   • Integrating AI tools into production pipelines
   • Governance and validation mechanisms

3. Constraint-Based AI Code Generation

   • Ensuring AI-generated code respects architectural constraints
   • Systematic validation frameworks

• 📧 Email: Ur.r@hotmail.com
• 📱 Phone: +966530550181
• 💼 LinkedIn: [Your LinkedIn Profile]
• 🐦 X (Twitter): @ahmad_nabeil
• 📍 Location: Riyadh, Al-Mohammadiyah District, Saudi Arabia

• 🔬 Advancing AI Safety research through S²T-Pipeline Framework
• 🏢 Leading AI-powered product development at NASH AI
• 📚 Contributing to AI safety and governance research
• 🚀 Building production-ready AI systems with safety mechanisms