Computer Engineer | AI Safety Researcher | CTO
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
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AI Safety in Software Engineering
- Preventing hallucinations in AI-assisted development
- Ensuring traceability and consistency in AI-generated code
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AI-Assisted Development Workflows
- Integrating AI tools into production pipelines
- Governance and validation mechanisms
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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
"Building AI systems that are safe, reliable, and beneficial for all."
⭐️ From ahmad-91