Rafael Sevilla Macalaba is an AI and machine learning engineer with the World Bank’s Development Data Group, where he works on the AI for Data—Data for AI program. His work focuses on developing and deploying state-of-the-art AI, NLP, and Generative AI systems leveraging large language models (LLMs) to improve the discoverability, harmonization, and reuse of research data. He also builds scalable data infrastructure and cloud-native workflows that enhance transparency, reproducibility, and evidence-based insights across research literature.