As a software solutions developer at CAREL, I create and test software solutions to control refrigeration systems, using Structured Text, Function Block Diagrams, Git, and other tools. I have over 6 years of experience in computational neuroscience, mathematical modeling, data analysis, and data visualization, and I am passionate about applying my skills to solve real-world problems.I am also a PhD candidate in bioengineering at the University of Campinas, where I model biological neurons and the human neuromuscular system, using Python, Matlab, C/C++, Docker, and dedicated software such as NEURON and NetPyNE. I have participated in four trainings teaching customers to use and code with CAREL's software, and I conduct product lifecycle management cycles for new or modified products. Additionally, I have won a prize for the best computational modeling project in a course on multiscale brain circuit modeling organized by SUNY Downstate Health Sciences University.