Background
From São Paulo to engineering
I was born in São Paulo and lived there until I was twenty one. Since my school years I was always drawn to different areas of science, especially physics, mathematics and even biology. That curiosity naturally led me toward engineering, and at seventeen I started studying mechanical engineering at Instituto Mauá de Tecnologia.
In 2016 I moved to Germany with the simple idea of spending a few months learning the language. What was meant to be temporary slowly became something bigger. One opportunity led to another, and over time Germany became the place where I continued my studies, developed my technical background and built my career.
Ten years later I am still here, working in the technical field and shaping the life that started with what was supposed to be a short stay.
Studies and engineering in Germany
In October 2016 I was accepted into an international program at Hochschule Karlsruhe, where I spent one semester studying topics such as Global Financial Markets, Economy and Marketing. It was the first time I had real academic exposure to these subjects, and it opened up new interests that stayed with me.
In April 2017 I was accepted to continue my studies at the Karlsruher Institut für Technologie (KIT), where I completed my Bachelor of Science in Mechanical Engineering. My final thesis focused on CFD simulation of an RAE airfoil in a compressible transonic regime, with Mach numbers between 0.8 and 1.0. That project was my first deep dive into numerical methods and high speed aerodynamics, and it shaped much of the technical direction I followed afterward.
Master’s in automotive engineering
In 2022 I began my master’s degree in Automotive Engineering at the University of Stuttgart, focusing on automotive dynamics, aerodynamics and multibody FEM simulations. It was a period of intense learning, but also one of real industry exposure. Over the two and a half years of the program I worked at Porsche Engineering in complete vehicle development, where I was involved in communication system testing, test automation and aerodynamic development.
During this time I also wrote my master’s thesis at Porsche Engineering, applying machine learning to predict force curves in wheel crash tests. It was the first project where my background in simulation, data analysis and engineering came together in a single problem, and it shaped much of the technical direction I follow today.
Sensor systems for marine engines
Today I work in the development of sensor systems and data science for large scale marine diesel engines. It is an area that brings together everything that has shaped my technical path so far: mechanical engineering, uncertainty analysis, sensor technology and machine learning. The work is deeply interdisciplinary and very applied, and it allows me to contribute to making marine engines increasingly modern, efficient and reliable.
Outside of work I continue developing prototypes, machine learning models, numerical methods and simulation tools in my free time. These projects are part of an ongoing effort to explore new ideas, test concepts and keep learning. Many of them are available in my public GitHub, where I document experiments, models and technical studies that reflect my interests and the way I approach engineering.