About
Checkout an overview of my coding in CodersRank, GitHub, Kaggle.
Principal MLOps Engineer & Product Manager
As Principal MLOps Engineer, I use data to solve problems and improve customer experiences with AI solutions. I have experience as a Data Scientist and Data Analyst, which helps me approach challenges from different angles. I also lead a team, focusing on mentoring and supporting new fellows.
I love teaching as well. I worked as an Adjunct Professor during my Master and PhD programs and now teach graduate courses in Data Science and Artificial Intelligence as an MBA Tutor and Professor. My aim is to help the next generation of data professionals while continuing to grow in this exciting field.
I believe in continuous learning, always exploring new AI techniques. As Aristotle said, "The joy of thinking and learning makes us think and learn even more."
Education
PhD Candidate
2022 - Present
University of Sao Paulo (ICMC/USP), Brazil
Research: Question Answering and Big Data Architecture
Topics: Data Mining, Artificial Intelligence, Data Warehouse, Big Data.
Master of Sciences
2017 - 2020
University of Sao Paulo (ICMC/USP), Brazil
Research: Modeling and Analyzing Social Networks of Games
Topics: Data Mining, Artificial Intelligence, Social Network, Time Series.
Bachelor of Computer Science
2013 - 2017
Federal University of Mato Grosso do Sul (CPPP/UFMS), Brazil
Research: Player Modeling using Data Stream Clustering
Topics: Data Mining, Artificial Intelligence, Data Stream.
Professional Experience
Principal Machine Learning Engineering @ AB-InBev
Aug 2024 - Present
Product Management, Machine Learning, MLOps
- Product management of a machine learning platform.
- Machine learning engineering, MLOps for modeling automatization.
- Engage with business stakeholders and data scientists for data products development.
Consultant Team Leader @ Amaris
Mar 2023 - Aug 2024
Machine Learning, Data Science, Research & Development
- Machine Learning Engineering, MLOps.
- Create data-related products and projects.
- Productize cutting-edge research and technology.
Data Science Tutor @ USP
Sep 2020 - Present
Tutor, MBA of Data Science
- Tasks: Online class, homework, content preparation.
- About: Python, data analysis, artificial intelligence.
- Driving Innovation: Leveraging Machine Learning Platforms. Published on Apr 12, 2024.
- Identity Document Recognition - Understanding the Basics of Image Classification. Published on Oct 10, 2023.
- Efficiently Setting up VS Code for Data Science Development on Windows with WSL. Published on Jul 3, 2023.
- Comparing AutoML Tools in Titanic Dataset - Machine Learning. Published on Dec 5, 2022.
- Multi-Emotion Detection in Brazilian Tweets. Published on Aug 5, 2022.
Research
Bibliography: ORCID, Google Scholar, dblp.
- Leonardo Mauro Pereira Moraes, Felippe Ferreira, and Robson Leonardo Ferreira Cordeiro. Modeling and Analyzing Social Networks of Games. Expert Systems with Applications, vol 261 Elsevier, 2025.
- Laura Fernandes Camargos, Leonardo Mauro Pereira Moraes, and Cristina Dutra Aguiar. Investigação sobre a Leitura de Documentos de Modelos de Perguntas e Respostas no Domínio Esportivo. In Proceedings of the Brazilian Symposium on Databases: Undergraduate Student Workshop, pages 8-14, Florianópolis, Santa Catarina, Brazil, 2024.
- Leonardo Mauro Pereira Moraes, Pedro Calciolari Jardim, and Cristina Dutra Aguiar. BigQA: A Software Reference Architecture for Big Data Question Answering Systems. Lecture Notes in Business Information Processing, vol 518. Springer, Cham, 2024.
- Pedro Calciolari Jardim, Leonardo Mauro Pereira Moraes, and Cristina Dutra Aguiar. QASports: A Question Answering Dataset about Sports. In Proceedings of the Brazilian Symposium on Databases: Dataset Showcase Workshop, pages 1-12, Belo Horizonte, Minas Gerais, Brazil, 2023.
- Leonardo Mauro Pereira Moraes, Pedro Calciolari Jardim, and Cristina Dutra Aguiar. Design Principles and a Software Reference Architecture for Big Data Question Answering Systems. In Proceedings of the 25th International Conference on Enterprise Information Systems, pages 57-67, Prague, Czech Republic, 2023.
- Leonardo Mauro Pereira Moraes and Robson Leonardo Ferreira Cordeiro. SMMnet: A Social Network of Games Dataset. In Proceedings of the Brazilian Symposium on Databases: Dataset Showcase Workshop, pages 429-439, Uberlândia, Brazil, 2019.
- Leonardo Mauro Pereira Moraes and Robson Leonardo Ferreira Cordeiro. Detecting influencers in very large social networks of games. In Proceedings of the 21st International Conference on Enterprise Information Systems, pages 93-103, Crete, Greece, 2019.