Designed an agentic LangGraph workflow that transforms automotive scenarios into validated Python/Robot test cases with deterministic review and dry-run validation. Built a 4-layer memory architecture (Core, Episodic, HITL, FAISS) with knowledge promotion pipeline 0.942 avg quality score over 210 runs and 78% time reduction vs manual.