Lead Developer – AI-Auditor Project (Audio Data Evaluation/Testing)
Integrated and tested audio-specific generative models to validate data labeling quality and output integrity. Assessed system performance for unauthorized manipulations and output poisoning vulnerabilities. Documented results and ensured auditability by implementing traceable logging. • Evaluated generated audio for fidelity and authenticity • Labeled cases of audio model poisoning and compromised outputs • Used Python frameworks for audio-DSP data pipeline assessments • Enhanced workflow security by verifying data provenance in sound generation