Agent Workflows.
Coordinated agents for document-heavy workflows, with human approval gates and a clear view of system behavior.
DOCUMENTED OUTCOME70%Less processing time
TECHNOLOGIES
Python · LangGraph · CrewAI · FastAPI · React · AWS
The problem
Manual document processing slows a workflow down. Automating it requires coordinated tool use, retained context, and a way for people to approve key steps.
The engineering
01
Architected a LangGraph and CrewAI multi-agent system with stateful memory, inter-agent tool handoffs, and human-in-the-loop approval gates.
02
Built a React observability dashboard with hallucination flagging and cost and latency telemetry.
03
Deployed the platform on AWS and produced client handover documentation.
The outcome
Replaced manual document processing and cut processing time by 70%, while retaining human approval within the workflow.
PROJECT SUMMARY BASED ON MY RÉSUMÉ. DIAGRAMS ILLUSTRATE THE ARCHITECTURE; THEY ARE NOT PRODUCT SCREENSHOTS.
NEXT PROJECT / 04Voice & Memory