Gianlucca Zuin is a Scientific Director and PhD in Computer Science from UFMG with 11 years' experience building ML solutions that bridge academic research and industry impact. Based in Minas Gerais, Brazil, he has led cross-disciplinary teams at Kunumi on applied projects ranging from healthcare diagnostics and energy forecasting to LLM research and environmental forecasting for WWF. His work blends a strong research background—postdoc and invited researcher stints including Stanford—with hands-on delivery of production-ready models and explainable ensemble techniques. Known for demystifying AI to business leaders, he pairs technical depth in explainability and NLP with a pragmatic focus on real-world utility. An early researcher on COVID-19 inference from routine blood tests, he consistently pursues applications that empower stakeholders rather than just publish papers.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 94.5 | GPA: 4.0, Doctor of Philosophy - PhD, Computer Science, 94.5 | GPA: 4.0 at Universidade Federal de Minas Gerais
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