arXiv cs.LGPaper
Forward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps
This is closer to production reality than most arXiv papers. If you are operating ML systems at scale and tired of manual orchestration across repos, infra, and monitoring, this architecture is worth studying. The evidence-gate pattern for safe transitions is the real insight. Not shipping yet, but signals where the tooling is headed.