Problem
Lead generation teams lose momentum when telephony, qualification, and follow-up depend on scripts, disconnected tools, and inconsistent operator decisions.
R&D case study
StormIQ
Lead automation platform designed to handle calls, qualification, and CRM handoff without manual follow-up bottlenecks.
At a glance
Delivery stage
R&D
Current state
Active Build
My role
Sole architect and full-stack engineer
What was built
Built as a layered voice workflow platform. Telephony and transcript intake feed queue-backed orchestration services, decision layers evaluate conversations, CRM-facing APIs move structured lead outcomes forward, and dashboards keep the system reviewable instead of opaque.
Result
Architecture validated with working voice gateway, queue orchestration, and CRM integration layer; advancing toward pilot deployment
How the system was structured
This section shows the operational logic behind the build, not just the user-facing surface.
Key system pieces
Voice gateway handles inbound and outbound call flow events.
Queue-based orchestration separates telephony from decision logic.
Agent and CRM layers turn transcripts into actionable lead records.
Core constraint
Async job orchestration: separating telephony events from decision logic via queue-backed services
Stack
TwilioRabbitMQFastAPIPythonRedisDashboard Web
Supporting proof
The architecture is documented as a real voice workflow system with clear boundaries between intake, orchestration, decisioning, and delivery.
Architecture diagramWorkflow diagramLead routing artifacts
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