Leonardo Tavares Baba Oliveira

Leonardo Tavares Baba Oliveira has a diverse work experience, starting in 2015 as a Game Developer at LOA - Laboratório de Objetos de Aprendizagem. In 2016, they worked as a Student Researcher at UFSCar - Universidade Federal de São Carlos, where they focused on implementing architecture for training Deep Neural Networks on FPGA. Leonardo continued their research at UFSCar as a Student Researcher, comparing and optimizing parallel and scalable code using the Intel Xeon Phi Coprocessor with offload techniques.

In 2018, Leonardo became a Visiting Scholar at UC Irvine, conducting research on implementing a primitive convolutional layer in FPGA. Leonardo then joined Visagio in 2019, starting as a Summer Intern in data science for one of Brazil's largest banks. In this role, they utilized C# and Python for data cleaning, analysis, and presentations to managers and directors. Leonardo continued their journey at Visagio as a Tech Lead, leading a team of 10+ members to develop a MLOps platform based on their undergraduate thesis. Leonardo was responsible for creating and maintaining a highly scalable distributed platform that facilitated the transformation of machine learning models and ideas into products.

Most recently, Leonardo joined Pacmed in 2022 as a Cloud Engineer.

Leonardo Tavares Baba Oliveira completed their Bachelor's degree in Computer Engineering with an emphasis on hardware, control, and automation from Universidade Federal de São Carlos - UFSCar Oficial. Leonardo attended the university from 2015 to 2020. Additionally, they received certifications in various subjects. In 2022, they obtained the "AWS Partner: Accreditation (Technical)" certification from Amazon Web Services (AWS) and the "Privacy Engineer" certification from Udacity. In 2020, they completed the "Gitlab CI: Pipelines, Continuous Delivery e Deployment" certification from Udemy and the "Leading Digital Transformation" certification from MIT Professional Education.