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Biography
I am a Research Engineer and Joint Phd Student at INRIA. I am skilled in machine learning, deep learning and electrophysiological signal processing at the Federal University of ABC (Brazil) and Université Paris-Saclay. I am an open-source maintainer of the Braindecode and MOABB, Pytorch library for EEG Decoding (https://github.com/braindecode/).
I have experience in software development with solid knowledge in computer science, and I worked and collaborated with small and large teams to deliver software and data science products.
Programming Languages: Python, Bash Script, Kotlin, Java, and Haskell.
Frameworks / Technologies: Docker, Docker-Compose, SQL, Linux, Git, AWS, Azure, Google Cloud Platform (GCP).
Python packages: Numpy, Scipy, Pandas, Scikit-Learn, Pytorch, Tensorflow, Keras, Dash, Dask, request, Beautiful Soup. In the brain signal ecosystem: MNE, Moabb, Braindecode, EEGLab.
Self-adaptable and self-start IT professional that enjoys learning new concepts and tools to solve problems.