95% vs 5% Ratio of infrastructure and pipeline code versus actual ML algorithmic code in enterprise systems
Tech & MLOps •
[MLOps Architecture] Why 99% Benchmark Models Collapse in Production: Data Drift & Serving Skew
Dissecting the exact technical mechanisms behind silent model failure in high-throughput enterprise serving, and architecting resilient real-time drift mitigation pipelines.
Research Fellow: MLOps Lab