Gazizov M.

Experience: Developed and deployed end-to-end machine learning pipelines using Azure Machine Learning (AML) and MLflow for model tracking, versioning, and reproducibility. Trained models at scale using Azure ML compute clusters, leveraging AutoML, Python SDK, custom scripts and pipelines for experimentation and efficiency. Designed Retrieval-Augmented Generation (RAG) on-premises / Azure / AWS Developed infrastructure-as-code (IaC) templates using Terraform and GitOps with FluxCD Provided technical expertise in containerization technologies (e.g., Docker, Kubernetes) for deploying microservices-based applications on the cloud platform and on-premises data center Designed and implemented CI/CD pipelines using Azure DevOps and GitLab, enabling streamlined deployments and improved release cycles. Managed and configured Azure Entra ID (formerly Azure Active Directory) for secure identity and access management across cloud resources. Developed monitoring stack using Prometheus, Grafana, Thanos, Telegraf for proactive system health checks