Manoel Dos Santos Neto is a Lead Machine Learning Engineer with 11 years of experience building high-performance, cloud-native ML and software systems across banking and consumer tech in Brazil. He blends deep Java and backend expertise with hands-on ML practice—designing CI/CD-driven solutions, cloud architectures, and productionized models at organizations like Banco Itaú and iFood. A former technical lead and team manager, he pairs systems architecture and data science skills (TensorFlow/PyTorch) with pragmatic delivery of scalable microservices. He also holds a Master’s in Artificial Intelligence and a Udacity computer science nanodegree, reflecting a commitment to both research-backed methods and practical engineering. Less obvious: his background spans legacy enterprise stacks to modern ML pipelines, enabling him to bridge organizational technical debt into robust, deployable ML products.
10 years of coding experience
6 years of employment as a software developer
Nanodegree Computer Science, Nanodegree Computer Science at Udacity Brasil
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Universidade Federal de Goiás
Bachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at Universidade Estadual de Goiás
Contributions:2 pushes, 1 branch, 6 issues in 1 year 11 months
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Manoel Dos Santos Neto - Lead Machine Learning Engineer at iFood