I'm Matías Iglesias, a Scientific Data & AI Engineer who leverages a strong foundation in physics and economics alongside practical expertise in Python, SQL, machine learning, and GenAI. I specialize in designing dependable systems that manage data, documents, models, and automation. My passion lies in transforming complex, unstructured information into accessible systems for querying, evaluation, and decision-making. My work spans creating AI and data infrastructures like pipelines, retrieval-augmented generation systems, and automation tools to conducting scientific research including statistical modeling and poverty measurement. Additionally, I develop civic and institutional platforms such as public data infrastructures and governance trackers. By integrating research-grade analytics with operational solutions, I aim to facilitate informed decisions and efficient data-driven processes. If you're interested in AI,