Alberto Neto is a seasoned professional in the field of software engineering and DevOps, currently serving as a DevOps Engineer at Ume since May 2023. Prior to this role, Alberto worked as a Software Engineer II at CESAR - Instituto de Inovação, where extensive experience was gained in developing advanced data science and AI solutions for global clients, including microservices and data pipelines using Python and technologies like Docker and Kubernetes. Alberto's expertise also encompasses machine learning, having planned and maintained various models using frameworks such as PyTorch and Scikit-Learn, alongside experience in computer vision techniques. Previous experience as an Analista júnior de sistemas at Accenture involved working with ABAP for SAP technology, contributing to development and bug fixes. Alberto holds a Post Graduate specialization in Deep Learning from Universidade Federal de Pernambuco and a Bachelor's degree in Information Technology from Wyden.
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