Danilo Resende is an experienced leader in MLOps and machine learning engineering, currently serving as the Leader of MLOps at Inter since December 2019. Resende specializes in developing frameworks to accelerate machine learning models, automate data science processes, and improve operational efficiency, while also managing financial aspects related to machine learning infrastructure. Prior roles include Analytics Ops Specialist at Inter, Data Architect & Analytics at Unisys, and Data Analytics Consultant at Avanade, where expertise in data architecture, analytics, and database administration was developed. Educational qualifications include a graduate degree in Information Systems from Universidade Federal de Minas Gerais, an MBA in Distributed Systems Architecture from PUC Minas, and technical education in Systems Information from Cotemig.
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