Rafael Alcibar is a Senior Machine Learning Engineer based in Madrid with 11 years of experience applying physics-trained rigor to data-driven products. He builds end-to-end ML systems in production, focusing on model deployment and monitoring at Affirm while collaborating closely with product teams to turn business needs into reliable features. His background spans telecom, utilities, finance and energy, where he has led data science teams and integrated analytics into global operations. Rafael also mentors and teaches—reviewing ML courses at Udacity, mentoring students at Springboard, and formerly lecturing Python and statistics at ICEMD—so he blends hands-on engineering with clear, actionable pedagogy. Notably, his career began in meteorology and renewable-energy R&D, giving him deep domain expertise in time-series and sensor data that informs robust model design. He is comfortable bridging research, production, and education to deliver practical, measurable improvements.
11 years of coding experience
10 years of employment as a software developer
Master’s Degree, Physics - Air Physics Specialist, Physics, Master’s Degree, Physics - Air Physics Specialist, Physics at Universidad Complutense de Madrid
Contributions:23 commits, 45 pushes, 1 branch in 10 months
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Rafael Alcibar - Senior Machine Learning Engineer at Affirm