AI Agents & Automation Workflows

Multi-step automations that think and act reliably

AI agent systems that automate complex, multi-step business processes with intelligence and reliability. I build stateful agent workflows that can make decisions, take actions, handle errors, and request human approval when needed. These systems use LangGraph for orchestration, maintaining state throughout complex workflows while providing observability and control. Whether automating data processing, customer onboarding, or internal workflows, I engineer agents that work reliably in production with proper error handling, retries, and human oversight.

What I Build

  • Multi-agent orchestration systems with coordinated workflows
  • Stateful workflow automation with LangGraph state machines
  • Decision-making agents that evaluate conditions and route tasks
  • Human-in-the-loop systems with approval workflows
  • Error handling and retry logic with exponential backoff
  • Checkpoint systems for workflow state persistence
  • Parallel agent execution for improved performance
  • Task delegation and agent communication
  • Workflow monitoring and observability dashboards
  • Automated testing and validation pipelines

Technologies

I use a comprehensive stack of production-ready technologies to build reliable systems:

Model Provider APIsLangGraphLangChainInstructorFastAPIPostgreSQLRedisCeleryDockerState MachinesCheckpointsWebhooksREST APIsTypeScriptPythonNext.jsMonitoringLoggingAWS LambdaCloud Run

Capabilities

Workflow orchestration
State & retries
HITL approvals
Automation pipelines
Multi-agent coordination
Error recovery
State persistence
Parallel execution
Workflow monitoring
Conditional routing