Hamilton Matos

Hamilton Matos

Machine Learning Engineer @ TOTVS

About Hamilton Matos

Hamilton Matos is a Machine Learning Engineer at TOTVS Labs, where he has worked since 2017. He holds a PhD in Computer Engineering and has extensive experience in developing cloud-based machine learning solutions and internet banking applications.

Work at TOTVS

Hamilton Matos has been employed at TOTVS Labs as a Machine Learning Engineer since 2017. In this role, he focuses on developing machine learning solutions, particularly in cloud computing and computer vision applications. Prior to his current position, he worked at TOTVS as a Technology Specialist from 2013 to 2017, where he contributed to various technology projects.

Education and Expertise

Hamilton Matos holds multiple degrees from Universidade Presbiteriana Mackenzie. He earned a Bachelor’s degree in Computer Science from 2002 to 2006, followed by a Master's degree in Computer Engineering from 2015 to 2017. He also achieved a Doctor of Philosophy (PhD) in Computer Engineering from 1986 to 2018. Additionally, he completed an MBA in Design and Development of Object-Oriented Systems from 2008 to 2010, and an Electrotechnician qualification in Electrical and Electronics Engineering from Etec João Baptista de Lima Figueiredo from 1997 to 2000.

Background

Hamilton Matos has a diverse professional background in technology and education. He began his career as an SAP functional consultant at Accenture Brasil from 2005 to 2008. He then worked as an Applications Outsourcing Specialist at Capgemini from 2008 to 2010. His experience includes a specialization in IT for Bradesco Net Empresa, where he focused on internet banking solutions and contributed to the functional software architecture for Bradesco's new internet banking platform for juridical persons.

Teaching Experience

In addition to his engineering roles, Hamilton Matos has been a teacher at Universidade Presbiteriana Mackenzie since 2013. His teaching experience spans over 11 years, during which he has shared his knowledge in computer science and engineering with students.

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