Summary
Ebenezer Silva is a Machine Learning Engineer and software architect with 11 years of hands-on experience building cloud-native AI services, data pipelines, and full-stack applications from Brazil. He blends production ML (training, NER and classification models) with MLOps and large-scale data engineering using PySpark, Ray and Kubernetes, while also designing APIs and front-ends with FastAPI and Angular. His background spans enterprise backend systems (Java Spring, .NET, PHP/Laravel) and infrastructure as code on AWS, reflecting a strong ability to move projects from research to reliable production. A University of Brasília software engineering graduate pursuing a professional master’s in applied computing, he pairs academic rigor with practical impact—evident in early research applying K-means and SOMs at the Brazilian Space Agency. Colleagues describe him as a pragmatic engineer who navigates both legacy ERP integrations and modern ML deployments with equal fluency.
11 years of coding experience
5 years of employment as a software developer
Postgraduate Certificate - Specialization, Software Architecture, Postgraduate Certificate - Specialization, Software Architecture at Unyleya
Postgraduate Stricto Sensu - Professional Master's, Applied Computing, Postgraduate Stricto Sensu - Professional Master's, Applied Computing at Universidade de Brasília
Portuguese, English