I architect and build complex AI-powered systems — from multi-agent orchestration pipelines and vision-capable RAG solutions to enterprise-scale automation frameworks that connect disparate platforms and make them work as one. With 18+ years at Microsoft and a hands-on development background across TypeScript, Python, and C#, I close the gap between AI research and production reality: I don't just design, I ship.
My focus is building what others consider impossible: agent-to-agent systems that self-coordinate, secure MCP architectures that comply with enterprise governance, and complex integrations — like a healthcare user-lifecycle automation serving 20,000+ users or a secure B2B file-sharing platform — that require both architectural breadth and developer depth. I lead from the technical front, translate ambiguity into elegant systems, and mentor teams along the way.
- Multi-agent & agent-to-agent orchestration (MAF, Semantic Kernel, LangChain)
- Custom Copilot Studio & M365 Agents SDK integrations
- Advanced RAG pipelines with vision model support
- MCP server design secured with OAuth2 / Zero Trust
- Prompt engineering, LLM cost optimization, hallucination reduction
- Azure OpenAI, Azure AI Foundry, Open-source LLMs (Llama, Qwen, Kimi, MiniMax, etc.)
- End-to-end complex system design: B2B SaaS, secure file platforms, insurance mgmt
- Enterprise IT automation — user lifecycle, identity federation, data pipelines
- Microservices, CI/CD, Docker
- Azure infrastructure & security architecture (Zero Trust)
- Cross-platform integration: Oracle Fusion, Active Directory, Microsoft 365
- TypeScript · Python · C# · PowerShell · React / Next.js
- Drive AI-powered digital transformation across 40+ strategic enterprise customers in the Middle East, owning end-to-end architecture and delivery of complex, custom solutions.
- Lead architect and developer for 15+ enterprise Copilot integrations using Copilot Studio and M365 Agents SDK — spanning agent-to-agent systems, advanced RAG, and vision model pipelines.
- Designed and built the enterprise MCP server security pattern (OAuth2 Proxy) now applied across the Microsoft Middle East ecosystem for secure AI tool discovery.
- Developed production-grade AI agents in TypeScript, Python, and C# using Semantic Kernel, MAF, and Azure AI Foundry for complex multi-step reasoning and automation tasks.
- Conducted LLM cost optimization assessments achieving up to 30% token reduction via intelligent caching and model routing strategies.
Trusted technical advisor to premier enterprise customers; led complex hybrid identity migrations (100,000+ users), regional PowerShell automation frameworks for AD/Exchange, and high-stakes architectural risk assessments across banking, government, and healthcare.
Mission-critical escalation management for Exchange Server enterprise deployments, resolving complex high-pressure incidents and building deep expertise in Microsoft messaging infrastructure.