AllocationOptimizationGovernance
Agentic Allocation Arbitrator
- Role
Principal AI Engineer I
- Focus
Reactive allocation arbitration
- Stack
- LangGraphFastAPISSEOptimization
Overview
A reactive allocation arbitrator that resolves post-scramble supply constraints across regions. The system uses multi-agent reasoning to classify scenarios, generate strategies, and translate them into optimization parameters. It delivers deterministic allocations with human-in-the-loop approval gates.
System Flow
- Orchestrator classifies scenarios (surplus, deficit, mixed).
- Strategist proposes allocation options with policy constraints.
- Constraint agent converts strategies into optimization parameters.
- Optimizer executes allocation and returns explainable rationale.
- SSE streaming provides live traces and approval checkpoints.
Key Contributions
- Designed agentic orchestration and gate logic for reliable decisioning.
- Built real-time trace streaming with approval gates before execution.
- Implemented explainable outputs for business users.
Notes on Disclosure
This project is presented at a system-architecture level without client identifiers or proprietary data.