Building Multi-Agent Systems with MCP and Claude 4.6
A deep dive into the Model Context Protocol, how it enables tool-using agents, and lessons from building Cortivex's 17 MCP tools.
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Ahmed R.
Hello, I'm
I'm working as AI Engineer
Building production Agentic AI systems, multi-agent orchestration platforms, and LLM/RAG pipelines at cloud scale. Specialized in Claude Opus/Sonnet 4.6, GPT-5, Gemini 2.5 Pro, MCP, LangChain, LangGraph, and full-stack development with Java/Spring Boot, Python/FastAPI and React/Next.js.
Who I am & what I do
I'm an AI Engineer & Full-Stack Developer currently based in Dubai, UAE, building production Agentic AI systems, multi-agent orchestration platforms, and LLM/RAG pipelines at cloud scale.
My expertise spans Claude Opus/Sonnet 4.6, GPT-5, Gemini 2.5 Pro, MCP, LangChain, LangGraph, CrewAI and multi-agent orchestration, plus full-stack development with Java/Spring Boot, Python/FastAPI and React/Next.js. I architect scalable cloud systems with Docker, Kubernetes, AWS and GCP.
Currently at Metamorphic Design Company, I've shipped AI-powered ERP platforms, vendor procurement systems, VR/3D visualization pipelines, and AR glass integrations. Previously at OffplanProperties.ai, I built production LLM/RAG services that increased qualified leads by 35% and cut manual screening by 80%.
My Professional Journey
Metamorphic Design Company, Dubai, UAE
OffplanProperties.ai / Zalinos Brokerage LLC, Dubai, UAE
REST Information Technology, Riyadh, Saudi Arabia
Valuelabs Solutions / Shutterfly Project, Hyderabad, India
Selected Projects
Production-grade multi-agent orchestration system (100% TypeScript) with DAG-based pipelines, self-learning engine (34% faster after 50 runs), filesystem-based mesh coordination, 17 MCP tools, 15 Claude Code skills (13,500+ lines), and 20+ agent node types across quality, security, testing, DevOps.
Full-stack ERP (Web + Mobile) for Metamorphic Design with Sales/Design Pipeline (CRM, moodboards, VR render assignments) and Project Management (purchase orders, material requisitions). Includes vendor tender system with secure one-time links and AI-powered vendor scoring.
Company website with Next.js, Supabase, Sanity CMS, Vercel. Claude-powered SEO generation, intelligent support assistant (Maya), estimation client. Voice-enabled assistants via Twilio/VOIP, 10+ n8n workflows, VR/3D pipeline with 8K renders and Aria Gen 2 AR glass.
Full-stack conversational AI agent using LangChain & GPT with multilingual support, voice/image uploads, OTP verification & AI-driven SQL generation. Four-stage pipeline: intent engine, query engine, search conversation engine, LLM fallback with guardrails.
Retrieval-augmented generation system with FastAPI backend and TypeScript Next.js frontend. Features knowledge base creation, document upload, chunking, embeddings, semantic search, and chat with cited sources. Guardrails for prompt injection and hallucination checks.
Architected Agent-to-SEO system generating 300,000+ long-form real estate pages at production scale. End-to-end n8n pipeline with content generation, Midjourney images, Botble CMS publish with rollback, Zapier approval gates, idempotent publish queues.
Production-ready CLI tool to scaffold FastAPI applications with database integration (PostgreSQL, MongoDB), authentication (JWT, OAuth), AI frameworks (LangChain, PydanticAI), Next.js frontend, and DevOps configs (Docker, K8s).
Enterprise-grade Java application demonstrating Spring Boot microservices architecture with REST APIs, database integration, JPA persistence, and JasperReports for PDF exports.
Privacy-first mobile app running large language models entirely offline on-device (Android & iOS). Powered by llama.cpp for local AI inference without internet dependency.
Professional Credentials
Academic Background
Chaitanya Bharathi Institute of Technology (O.U)
Hyderabad, India
Data Structures, Machine Learning, AI, Operating Systems, Database Systems, Web Development. Academic project: GAN denoising benchmarked vs classical filters with F1 ≥ 0.99.
International Indian School
Riyadh, Saudi Arabia
Specialized in Mathematics, Physics, Chemistry & Computer Science.
Thoughts on Agentic AI & Engineering
A deep dive into the Model Context Protocol, how it enables tool-using agents, and lessons from building Cortivex's 17 MCP tools.
Read MoreHow I moved 300k+ real estate pages from simple vector search to agentic retrieval with eval harnesses, rerank, and hybrid search.
Read MoreA practical guide to evaluation harnesses, prompt versioning, cost tracking, and regression testing for LLM-powered products.
Read MoreA hands-on comparison of the two leading agent frameworks based on real production deployments at Metamorphic.
Read MoreHow to integrate LLMs into Java enterprise backends without losing the type safety and observability you love.
Read MoreI ran the same 1M-document RAG workload across all four. Here's what I found on latency, recall, cost, and operability.
Read MoreHands-on patterns for prompting Claude 4.6, GPT-5, and Gemini 2.5 Pro in production. Few-shot is dead. Structured outputs are the future.
Read MoreInside the production 8K rendering and Aria Gen 2 AR glass pipeline I built at Metamorphic for on-site client measurements and immersive walkthroughs.
Read MoreReal-world patterns for building reliable n8n automation suites. WhatsApp OTP, Google Drive to vector DB ingestion, content QA, scheduled health checks.
Read MoreLet's build something together
Open to AI Engineer, Full-Stack Developer, and Solutions Engineer roles. Also available for consulting on Agentic AI, LLM/RAG, and production ML systems.