ARNOLD MADAYAG

I’m a Senior AI and Automation Engineer with over eight years of experience leading the design and delivery of production-scale AI systems, intelligent automation, and full-stack enterprise platforms.
In recent years, I’ve been working primarily at the architecture and implementation level—designing AI-driven automation platforms that combine LLMs, RAG, MCP-style orchestration, and multi-agent systems using tools like LangChain, LangGraph, CrewAI, and Pydantic AI. A core part of my work has been building and operating complex automation workflows using n8n as the orchestration layer, where I design multi-step, event-driven pipelines with advanced HTTP integrations, retries, error handling, and monitoring. These workflows coordinate AI agents with deterministic business logic to automate processes like document intelligence, scheduling, data extraction, and decision support.
I’ve worked extensively in healthcare and enterprise environments, where reliability, security, and compliance really matter. In those settings, I’ve designed and deployed AI systems that integrate with internal platforms through APIs and n8n-based automation pipelines, enabling capabilities such as intelligent summarization, workflow routing, approval flows, and real-time user interactions. I regularly worked directly with stakeholders, owned technical decisions end to end, and translated operational needs into scalable, maintainable solutions that reduced manual workload and improved efficiency.
From a technical standpoint, I’m very hands-on across the full stack. I work comfortably with Python and JavaScript for automation, backend services, and AI integration, and I have solid experience deploying and operating n8n-backed AI systems on AWS, with proper observability, security controls, and performance optimization.
Overall, I specialize in bridging AI, automation, and full-stack engineering to build systems that are not just intelligent, but reliable and production-ready. I enjoy leading complex implementations, setting technical standards, mentoring teams, and delivering real operational impact, and I’d be excited to bring that experience here.