Practice
MLOps & Self-Healing Infra
Z-score thresholds (>2.5σ) for anomaly detection, automated RAG-powered root cause analysis, and containerized FastAPI microservices with lazy-loaded ML singletons — sub-second cold boots, 2.5GB container savings.
What you'll walk away with
- Drift detection with physics-informed thresholds
- Automated RAG investigation agent for root cause analysis
- Optimized container orchestration + deployment topology
Typical engagement: 6 weeks.