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  • Physicist interested in Nuclear and Relativistic Astrophysics, Gravitation and Cosmology; Data Science (Data analysis, Information retrieval, Supervised learning, Unsupervised learning, Data visualization, Big data, Deep learning); Mechatronics.

  • My academic works can be found on Inspire

  • Programming languages: Python (Matplolib, Tensorflow, PyTorch, NumPy, SciPy, SymPy, Pandas, scikit-learn, ...), Julia, R, Fortran, Maxima, GNU Octave (Matlab), HTML, CSS, Javascript. Some few experience with: C++, Lisp, Go, Rust.

  • Experience in GNU/Linux and servers (Debian, Fedora, Archlinux, Nextcloud, SQlite, Matrix (Synapse), networks and firewalls)

  • Utilities: Emacs (many modes), gnuplot, zotero, git, bash, cmake, ssh, gimp, inskcape, Jupyter, LaTeX, libreoffice.

  • I do some contributions to free/open source projects.

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