Summary
Migrated large-scale speech recognition model training and evaluation to a cloud-based AI infrastructure. Enabled rapid experimentation, elastic compute scaling, and streamlined data orchestration. Reduced infrastructure complexity and cost while accelerating model iteration and release cycles. Strengthened data governance and traceability for enterprise-grade audio AI development.