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Freelancer Overview

I am an experienced Azure Cloud and MLOps Engineer with a strong background in building and managing robust data pipelines, automating ML model deployment, and supporting the full AI lifecycle. My expertise spans the orchestration of data flows and model training environments using tools like Azure ML, MLflow, DVC, and Kubeflow. I have designed and implemented scalable CI/CD pipelines for ML and LLM projects, containerized and deployed models to AKS, and integrated model monitoring solutions with Grafana and Prometheus to track data quality, drift, and performance. My hands-on experience includes automating infrastructure provisioning, enabling blue-green deployments, and ensuring the reliability and security of AI systems. I am passionate about optimizing data annotation workflows, integrating best-in-class tooling for model evaluation, and supporting teams to deliver high-quality AI solutions across domains such as NLP and real-time inference.

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