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Audio-intelligence backend

Voice Insight

Backend and AI-processing pipeline that turns raw customer-call recordings into validated, structured, analysis-ready inputs for downstream voice analysis.

Editorial representation of a call-analysis workflow with a headset and audio notes
Voice InsightAudio-intelligence backendProduct systemsApplied AIImplementation

MY CONTRIBUTION

Owned the Node.js orchestration layer, service contracts, request flow, validation, preprocessing, traceability, protected access, packaging, and multi-service deployment.

THE HARD PART

Making unreliable real-world audio and multiple specialized services behave like one stable customer API inside customer-controlled, sometimes offline or GPU-aware environments.

WHAT SHIPPED

  • Built upload validation, format and duration checks, silence detection, preprocessing, transcription handling, metadata enrichment, and cleanup paths.
  • Implemented stereo/mono branching, channel handling, transcript cleanup and merging, readiness checks, and structured downstream payloads.
  • Delivered protected Docker Compose deployments with client licensing, usage tracking, health endpoints, audit data, obfuscation, and environment-aware scripts.

TECHNICAL DETAILS

  • The orchestration layer integrates dedicated Python/FastAPI services for speaker profiling, transcription, and model inference without claiming ownership of those Python models.
  • FFmpeg and ffprobe support media inspection and preprocessing before service handoff.
  • Deployment work addressed offline dependencies, model packaging, GPU-aware configuration, diagnostics, and stable integration contracts.

TECHNOLOGY

Node.js · Express · Docker · Docker Compose · FFmpeg · ffprobe · JWT · FastAPI integration · Transcription

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