Secure, measured, honest with data
Backend core of a medical transcription and clinical-documentation platform used by doctors. I made it faster, closed its security holes, and stopped it from showing fake numbers.
- Audio pipeline: async ffmpeg and one probe per chunk, for 3.7× throughput and 74–118 ms less event-loop blocking per chunk
- Transcript rebuild at the 120-chunk cap: 42 s → 0.3 s of event-loop time, with Arabic-aware numeral matching
- Security: closed four privilege-escalation paths and locked down unauthenticated voice-biometric endpoints
- Honest analytics: every metric is live | partial | proposed, so the UI says “not instrumented” instead of a fake 0
Integrations: PostgreSQL · OpenAI · ffmpeg · Opus · ONNX · React Query






