Experienced Machine Learning Engineer with a strong background in designing and deploying end-to-end data and machine learning systems. Skilled in building reliable MLOps pipelines using Azure ML, MLflow, Azure DevOps, and Microsoft Fabric to enable efficient experimentation, deployment, and monitoring. Currently working in the energy sector, delivering projects in risk classification, optimization algorithms, text analytics, and energy management. Combines solid software engineering practices with applied machine learning to build scalable, production-grade solutions. Focused on reliability, automation, and collaboration, with a commitment to developing practical, high-quality systems that drive measurable business value.