Ahmad Muhammad

I’m an Agentic AI Engineer focused on production-ready autonomous multi-agent systems, combining CrewAI-style agent workflows with RAG pipelines and real-world LLM integrations (OpenAI, Claude, Gemini, Groq). I build event-driven backend components that connect AI endpoints to practical automation flows.

In my work, I’ve engineered backend automation that processes 500+ records daily, cutting manual overhead by 70% through distributed, parallel processing architectures. I’ve also led an omnichannel order management backend where LLM classification reduced manual order processing by 100%, and I’ve delivered n8n webhook automations for routing, notifications, and report generation.

I enjoy turning complex business processes into reliable systems—multi-agent state machines, webhook-driven lifecycles, and scalable Node.js/Express backends secured with JWT. With a BS in Software Engineering, I aim to keep building scalable AI-driven infrastructure that reliably ships and keeps teams moving.