I will architect stateful multi agent workflows with langgraph and crewai

Simple linear AI pipelines fail in production. When a long-running corporate workflow encounters an API timeout, rate limit, or server restart at step 7 of 10, all execution states and token investments are lost.

I architect resilient, fault-tolerant multi-agent infrastructure by merging the deterministic state controls of LangGraph with the event-driven execution of CrewAI Flows.

Engineering Focus

• Stateful Cyclic Graphs: Designing structured execution loops via LangGraph nodes and conditional edges to handle complex B2B business logic.
• Persistent Checkpointing: Implementing PostgresSaver and Redis-backed message queues to save thread states, enabling auto-recovery after infrastructure drops.
• Human-in-the-Loop Gates: Integrating granular manual verification layers directly into the graph for critical runtime approvals.
• Backend Orchestration: Secure n8n pipelines for multi-modal post-call actions and enterprise routing.

Production Stack

LangGraph | CrewAI Flows | Python (Asyncio) | PostgresSaver | Redis | n8n | LangSmith

All deployments are modular, heavily documented, and 100% transferable for complete data ownership.