Research to Production Pipeline Questions

Describe how research prototypes become reliable production services and the engineering and organizational work required. Topics include experiment reproducibility, data and feature pipeline design, model packaging and versioning, serving infrastructure choices, canary and shadow deployments, monitoring and alerting for data and performance drift, retraining orchestration, rollback and recovery procedures, and measuring real world impact. Include practical handoffs between research, engineering, and product teams and considerations for cost, latency, and compliance.