Ayobami Adejumo aayostem

🏠

Working from home

MLOps and Data Infrastructure Engineer specializing in the deployment, reliability, and governance of advanced AI systems

Achievements

aayostem /README.md

🔭 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

mlflow/mlflow mlflow/mlflow Public

The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

Python 23.5k 5.1k
treeverse/dvc treeverse/dvc Public

🦉 Data Versioning and ML Experiments

Python 15.2k 1.3k
great-expectations/great_expectations great-expectations/great_expectations Public

Always know what to expect from your data.

Python 11k 1.7k
mlops-drift-detection mlops-drift-detection Public

⚙️ Production MLOps Pipeline. Designed and deployed a fully automated CI/CD/CT pipeline on AWS/GCP (using Docker/Kubernetes) for a domain-specific LLM.

Python 5