d.Mason

Evaluated dry vocal audio to identify artifacts and performance issues (plosives, sibilance, clipping, noise, distortion, timing). Applied detailed scoring rubrics to label audio quality consistently for machine-learning training. Performed high-volume QA/annotation, validating edge cases, flagging ambiguous samples, and improving dataset reliability. Collaborated with ops/review leads to refine guidelines, reduce reviewer drift, and maintain consistency at scale. Wrote clear pass/fail rationale to support faster model iterations and lower error rates. Maintained strict data hygiene and confidentiality, ensuring clean metadata, organized outputs, and audit-ready deliverables.

Spearheaded audio and video production for a diverse range of projects, including music recording, podcasts, and promotional videos, ensuring high-quality output and client satisfaction. Implemented and managed studio budgets, staff, and workflows, optimizing efficiency and productivity in a fast-paced environment.