Backend / AI Engineering
Inbound Lead Engine
Full-stack containerized environment. Zero ingestion wait-time. Automated state escalation for hard failures.
Summary
The Challenge
High-volume lead ingestion creates bottlenecks. Needed a system resilient to AI failures and delivery issues without human intervention.
The Strategic Solution
Built async engine with FastAPI + Redis. Heavy tasks (AI inference, delivery) run in background workers. Strict deduplication via SHA256. Real-time SLA enforcement (5-min gates).
Technical Implementation
Async Lead Processing Architecture
Automated lead ingestion and intent analysis system designed for scalability and failure-tolerance.
Reliability Layer
Core challenge: AI reliability. Implemented 'Guarded AI' pattern—pydantic-validated JSON responses with 'general inquiry' fallback. If AI doesn't respond or API is down, system doesn't break. Lead keeps moving.