Rafael Xavier is a Data Science Technical Leader with 11 years of experience who combines an MA in Economics with deep hands-on expertise in ML, NLP and computer vision to deliver high-impact production systems. At Mercado Libre he leads teams that run over 300 million predictions and enable 60+ million monthly moderations, rebuilt an expensive vendor workflow in-house saving six figures annually, and introduced few-shot/zero-shot and multimodal solutions to improve listing quality across Latin America. Previously he scaled and led data science teams in consulting, built forecasting engines for financial institutions, and directed large volunteer analytics efforts for public policy and campaigns. Comfortable across the Python ML stack and with production Go deployments, he also contributes to open source and bridges research, product and operations to deploy robust generative and moderation models at scale.
10 years of coding experience
11 years of employment as a software developer
Master of Arts - MA, Economics, Master of Arts - MA, Economics at Universidad de Montevideo
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