Forward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps
Across industries, machine-learning systems support applications ranging from prediction and anomaly detection to forecasting, optimization, and scheduling, yet operationalizing these systems requires coordinating application development, model pipelines, cloud infrastructure, security, deployment, monitoring, retraining, recovery, and rollback. We present an evidence-gated multi-agent framework…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
