Multi-Agent Orchestration
Summary Designed and implemented service-owned orchestration components for routing conversations between specialized healthcare agents, preserving task state, and handling intent changes during voice interactions.
Scope
- Implemented routing and state management across HTTP and streaming voice flows.
- Added application-level validation and recovery around model-driven behavior.
- Built an end-to-end voice evaluation path with recurring regression checks.
Problem / Context
Healthcare voice interactions require explicit state and routing behavior alongside model-driven decisions. The orchestration layer coordinates specialized workflows while keeping application behavior recoverable.
What I Built
- Service-owned routing and state-management components.
- Task switching, handoffs, pause/resume behavior, and state preserved across turns.
- Streaming voice evaluation with simulated callers and quality measurement.
Engineering focus
Model-driven routing provides flexibility, but critical invariants should not depend on a perfectly formed response every time. My work added application-level validation, state management, and recovery around those decisions.
Evaluation
I built an evaluation path that exercises spoken conversations over a streaming audio interface and assesses task completion, interaction quality, and responsiveness. It extends existing regression mechanisms rather than replacing them.
Technical themes
Service orchestration, streaming voice flows, state management, evaluation, regression testing, and distributed systems.
Public boundary
This overview intentionally omits internal identifiers, customer details, private architecture documents, and unreleased implementation specifics.