Leandro Ferrado is a Staff Machine Learning Engineer with a decade of experience building production ML systems and leading data science teams across fintech, healthcare, and real estate. He blends a strong software engineering background with hands-on expertise in Python, R, and Julia to turn large, messy datasets into measurable business value—reducing cloud costs, improving customer acquisition/retention, and enabling clinical decisions. He has led hiring and learning-path design for data teams at scale, mentored interns, and guided technical sales and product-facing ML efforts. His career spans startups and large enterprises (Mercado Libre, Intel/McAfee, GoFundMe) and includes research on EEG-based brain–computer interfaces, reflecting a foundation in algorithmic R&D as well as applied engineering. As a freelancer and technical interviewer, he also advises teams on AI development and helps organizations embed ML best practices. Based in Córdoba, Argentina, he’s known for translating experimental models into reliable, production-grade systems that drive stakeholder outcomes.
10 years of coding experience
10 years of employment as a software developer
Informatics Engineer, Informatics Engineer at Universidad Nacional del Litoral
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Leandro Ferrado - Staff Machine Learning Engineer at Contractor