- 🔭 End-to-End MLOps: Feature stores, model registries, automated pipelines, and serving infrastructure
- 👯 Kubernetes-Native Architecture: Multi-cloud Terraform, GitOps, service mesh integration
- 🤔 Model Lifecycle Management: Automated retraining, canary deployments, shadow testing
- ⚡ Production Monitoring: Multi-modal drift detection, intelligent alerting, auto-remediation
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Working from home
Senior Platform Engineer and Security and compliance engineer delivering E2E gap assessment, technical control implementation,, evidence package assembly...
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CloudFrugal
- aayo.software@gmail.com
- in/aayostem
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drift-sentinel
drift-sentinel Public⚙️ Production AWS/GCP/EKS infrastructure platform — Terraform, Kubernetes, Istio mTLS, Vault, multi-cloud IaC, SOC2 audit logging
Python 5
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mlflow/mlflow
mlflow/mlflow PublicThe open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
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