I will architect event driven agentic ai workflows

Standard API calls to AI models are fragilethey time out, fail under heavy loads, and drop critical data. If you are building enterprise AI, you need asynchronous architecture.

I architect and develop robust, Event-Driven Agentic Workflows designed for scale. By utilizing enterprise message brokers like AWS MQ and ActiveMQ, I build AI agents that securely consume tasks in the background, process multi-step reasoning, and deliver structured outputs without dropping a single request.

My backend solutions are built in heavily structured environments like C# or Node.js, ensuring your AI workflows fit perfectly into professional, scalable microservice architectures. For premium setups, I also build real-time monitoring dashboards using Angular, React, or Blazor.

What I offer:

• Queue Integration: Connecting AI agents to AWS MQ, ActiveMQ, or RabbitMQ.
• Asynchronous AI Processing: Agents that run reliably in the background for heavy tasks (bulk data analysis, document parsing, automated support).
• Resilient Architecture: Dead-letter queues, retry mechanisms, and robust C#/Node.js backend execution.
• Custom Dashboards: Modern web UI to monitor your AI agents' workload in real-time.