Summary
Matheus Sartor is a Senior Data Scientist and ML engineer with six years of experience applying deep learning, explainable AI, and MLOps to real-world engineering and logistics problems. With a master's in Computer Science and an MBA in Digital Business Management & AI in progress, he bridges technical depth—TensorFlow/PyTorch, Spark, Snowflake, Databricks, AWS—and business impact, focusing on architectures that improve key metrics. He has led R&D projects in the electric power sector, optimized hydropower asset performance, and built recommendation and NLP systems that power chat and freight-matching experiences at Frete.com. Comfortable taking models from research to production, he combines feature engineering rigor with automated pipelines, feature stores, and fine-tuning of LLM-like models. A background in mechanical engineering and early software roles gives him a pragmatic systems perspective that helps align AI solutions with operational constraints.
5 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Universidade Federal da Paraíba
Bachelor's degree, Mechanical Engineering, 8.0, Bachelor's degree, Mechanical Engineering, 8.0 at UFRJ - Universidade Federal do Rio de Janeiro
University of São Paulo
english - c2, français (french), 汉语 (chinese mandarin), español (spanish), português (portuguese)