Autonomous Model Governance: Architected a self-healing pipeline using LangGraph and XGBoost that automates drift detection (KS-Tests) and retraining, reducing manual intervention in the ML lifecycle by 100%. High-Performance Distributed System: Engineered a multi-cloud infrastructure (Aiven, Render, Vercel) supporting high-frequency telemetry ingestion with sub-second retrieval via B-Tree indexing and TimescaleDB. Resilient Fault-Tolerance: Designed a "Graceful Degradation" layer that ensures 99.9% uptime by automatically falling back to direct-to-database persistence during asynchronous broker (Kafka/Redpanda) outages. Real-time Observability: Integrated a Chaos Engineering suite with Discord Webhooks, enabling live alerting and manual overrides for autonomous SRE orchestration loops.