Gabriel Magno is a Senior Data Scientist and PhD in Computer Science with 13 years of experience blending academic research and industry delivery across social computing, machine learning, privacy, and algorithm transparency. He has driven production ML features—search, recommendations, dynamic pricing, and generative text—while building scalable data pipelines, AI APIs, and actionable dashboards at companies like SEEK, Redarbor and now Nubank. His research background (UFMG, QCRI, Harvard) informs a careful approach to model evaluation, interpretability, and A/B testing, helping bridge rigorous science with product impact. Based in Minas Gerais, Brazil, he pairs a subtle engineering charm and introverted focus with a habit of turning complex research problems into pragmatic, production-ready systems.
12 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidade Federal de Minas Gerais
Contributions:2 PRs, 42 pushes, 3 branches in 7 years 9 months
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