Professional summary
Senior Software Development Engineer at GB Corp with 18+ years across enterprise technology, operations and software delivery, now focused on forward-deployed and applied-AI engineering. I turn incomplete business requirements into production systems - from discovery and architecture through Python/Django implementation, enterprise integration, AI-assisted workflows, deployment and production support. My differentiator is operating across business context, software engineering and AI rather than treating the model as the whole product.
Core capabilities
Professional experience
Senior Software Development Engineer
GB Corp- Translate ambiguous business and operational requirements into deployable software systems; own work from discovery and architecture through implementation, testing, deployment and production troubleshooting.
- Build full-stack enterprise applications with Python, Django, PostgreSQL and JavaScript, including role-based, multilingual and workflow-driven experiences for non-technical users.
- Design integrations across enterprise systems, REST APIs, databases and automation workflows, and apply AI/agentic components where they create practical operational value.
- Use AI-assisted engineering tools to accelerate implementation and investigation while retaining ownership of architecture, validation, security, testing and final technical decisions.
- Contribute to technical architecture, delivery standards and mentoring while supporting production issues and iterative improvement from real user feedback.
IT Support Engineer Team Leader
GB Corp- Led enterprise support and operational troubleshooting across business users, endpoints, infrastructure and production technology, building a strong understanding of real operational constraints and incident response.
- Coordinated technical support work, user communication and escalation across complex enterprise environments; developed the stakeholder and delivery discipline that now informs software and AI implementation.
Technical Consultant
FIXITechnology- Delivered hands-on technical consulting, maintenance and support for customer technology environments, diagnosing issues and translating user needs into practical technical actions.
Physical Security Manager
Security and Network Services (SNS)- Managed technology spanning Windows/server environments, Active Directory, backup tooling, technical support, CCTV/access control and ISO 27001 documentation, combining infrastructure, security and operational responsibility.
Selected engineering evidence
Enterprise AI Orchestration & Automation
Python, Django, MCP, APIs, Docker- Designed the control boundary between AI reasoning and deterministic execution: structured intent, policy/validation, bounded tool interfaces and auditability rather than unrestricted model actions.
- Produced a reusable architecture that keeps model/provider changes decoupled from business rules and tool execution while preserving permissions, traceability and failure containment.
Enterprise Workflow Platform Engineering
Django, PostgreSQL, REST APIs, RBAC, PWA- Translate loosely defined operations into actors, states, permissions, records and integrations, keeping front-end journeys simple while complexity is enforced through tested server-side rules.
- Turn fragmented/manual workflows into explicit ownership, status and audit trails, creating a maintainable base for future operational change without exposing private customer data.
Production Django Systems
Python, Django, PostgreSQL, Docker, Railway, Security- Own the delivery surface across backend logic, database rules, responsive interfaces, integrations, containerization, deployment and production troubleshooting.
- Use explicit validation, permission boundaries, health checks, secure deployment and post-release verification to catch production failures before handoff and shorten diagnosis when incidents occur.
Applied AI & engineering stack
Applied AI: LLM integration, AI agents, MCP, tool calling, RAG/retrieval, structured outputs, prompt engineering, workflow automation, human approval boundaries, evaluation-minded delivery.
Software & Platform: Python, Django, PostgreSQL, SQL, REST APIs, JavaScript, HTML/CSS, Docker, Linux, Git/GitHub, Railway, PWA, n8n, production logging and health checks.
Delivery: Requirements discovery, solution architecture, workflow/domain modelling, integrations, secure deployment, troubleshooting, stakeholder communication and iterative production support.
Additional evidence
- Efficient Local AI Runtime R&D - numbered experiments and blind validation exploring lower-overhead local AI on consumer NVIDIA hardware; public claims intentionally separate measured results from hypotheses.
- Secure Django Portfolio - this live site is itself inspectable production evidence: persistent PostgreSQL, restrictive CSP/HSTS, rate-limited contact, health checks, public structured data/APIs and 23 automated tests.
Education
Modern Academy for Engineering and Technology, Cairo, Egypt | Engineering education