Leonardo Alves is a Senior Data Scientist and Tech Lead based in São Paulo with nine years of experience building and operationalizing fraud prevention and anti-money-laundering systems at scale. He combines hands-on ML model development, MLOps, and rules engineering to improve precision/recall, reduce false alerts and lower processing costs across production pipelines. As a technical lead he has guided cross-functional teams through rigorous model development workflows and deployment, while also teaching introductory ML—bringing clarity to both engineers and non-technical stakeholders. His academic background (MSc in Computer Science focused on text mining and systematic literature review) informs a strong foundation in embeddings, topic modeling and automated term extraction that he has applied to real-world detection problems. Colleagues describe him as pragmatic and data-driven, able to translate complex AI methods into measurable business impact.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Text Mining and Systematic Literature Review, A, Master of Science - MS, Text Mining and Systematic Literature Review, A at Universidade Federal de Mato Grosso do Sul
Contributions:143 commits, 135 pushes, 1 branch in 1 year 3 months
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