Summary
Nicolas Cristofoletti is a Machine Learning Engineer with 8 years of experience applying Python-first data science to production systems, currently focused on large-scale recommendation engines at Globo. He transitioned from mechanical engineering at UNICAMP into data roles at Belvo, where he built banking-data categorization models, APIs, and scalable ML pipelines using PySpark, AWS/EMR, and Django before moving to cloud-native orchestration with Kubeflow and Dataflow on GCP. Comfortable working in English with multinational teams, he combines hands-on model development, CI/CD and containerized deployments with a strong background in data analysis, SQL, and dashboarding. An MBA in Data Science and ongoing postgraduate work in NLP underscore his commitment to continual learning and to bringing applied research into production. Notably, his early robotics and research experiences inform a systems-thinking approach to production ML and experimentation.
8 years of coding experience
3 years of employment as a software developer
Postgraduate course, Natural Language Processing, Postgraduate course, Natural Language Processing at Universidade Federal de Goiás
Post-graduate - MBA, Data Science and Analytics, Post-graduate - MBA, Data Science and Analytics at MBA USP/ESALQ
Bacharelado, Engineering Mechanics, Bacharelado, Engineering Mechanics at Universidade Estadual de Campinas
Cientista de Dados, Ciência da Computação, Matemática, Estatística, Cientista de Dados, Ciência da Computação, Matemática, Estatística at EBAC - Escola Britânica de Artes Criativas e Tecnologia