Gabriel Moreira is a Machine Learning Engineer with 14 years of experience specializing in deep learning for recommender systems, currently contributing as an ML Research Scientist at NVIDIA. Based in São José dos Campos, Brazil, he brings a strong background bridging data science, machine learning engineering, and software engineering across the full ML pipeline. His open-source work on NVIDIA-Merlin's Transformers4Rec focuses on data preprocessing, candidate sampling strategies, and performance-minded data loading—skills that help turn large e-commerce datasets into production-ready training inputs. He has hands-on expertise optimizing memory and throughput for sequential and session-based recommendation models. Known for pragmatic engineering, Gabriel blends research-grade modeling with production reliability to accelerate recommendation quality and serving efficiency. Colleagues rely on him to translate complex sampling and preprocessing requirements into scalable, maintainable implementations.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Role in this project:
Data Scientist & ML Engineer
Contributions:56 reviews, 614 commits, 23 PRs in 2 years 6 months
Contributions summary:Gabriel's commits primarily focused on preprocessing data and preparing it for machine learning tasks within the Transformers4Rec framework. The user implemented and tested candidate sampling strategies, including uniform, recency, recent popularity, and co-occurrence sampling methods. Their contributions involved converting preprocessed e-commerce data into a format suitable for binary classification, as well as refactoring data loading for better performance and optimized memory usage.
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Gabriel Moreira - Machine Learning Engineer at NVIDIA