About Rafael
I work at the World Bank on applied AI. My work connects research on how evidence is used with tools that make complex workflows easier to inspect and scale.
My research focuses on monitoring how sources are cited and used in published work. I’m interested in how language models and synthetic data can make that analysis more systematic while keeping the evidence behind each result visible.
I also build open-source software—from information retrieval to systems for coordinating AI agents. Across both, I care about making complex work observable: what information went in, what a system concluded, and why.
Explore selected workEarlier experience
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Data Scientist Kalibrr
Y Combinator-backed startup in Southeast Asia
Worked on data processing and visualizations for Kalibrr’s job-matching platform, and developed statistical and machine-learning models to analyze job-seeker behavior and support predictive analytics.
Scholarship, training, and awards
Scholarship DOST Philippines
Department of Science and Technology (DOST), Philippines.
CADS Sunrise Award · The Center of Applied Data Science
One of 16 young data talents recognized for contributions to data science, analytics, and AI.
Associated with Thomson Reuters
Recognized for innovation and adopting practices that improved operational efficiency and customer satisfaction.
More of my work