Leonardo Mauro P. Moraes

I'm a

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."

Resume

Curriculum: PDF, Lattes, LinkedIn.

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.

Research

Bibliography: ORCID, Google Scholar, dblp.