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My name is Mateus Begnini Melchiades and I am a developer and researcher in Machine Learning at Unisinos University in São Leopoldo, Brazil. My main field of study is centered around Option discovery in Reinforcement Learning, but I also work on projects related to NLP and Neural Networks. I have also earned a bachelor's degree in Computer Science from the same university, with an outstanding student award from the Brazilian Computing Society (SBC).

On my spare time, I use my programming skills to create and contribute to open-source projects mostly related to Linux. I spend most of this time improving Vanilla OS, which I act as Contributors Leader.

The programming languages I usually work with are (in order of familiarity):

• Python (including popular libraries like Pandas, Numpy, PyTorch, ...)
• Go
• C
• Lua
• Bash
• Rust
• Vala

• JABS.nvim: A minimal buffer switcher window for Neovim written in Lua.
• tree-sitter-vala: A tree-sitter implementation for the Vala programming language.
• Albius: An installer backend focused on immutable Linux distributions, but suitable for all distros (part of Vanilla OS)

• Vanilla OS Contributors Leader: I develop and improve system applications like ABroot and Apx, as well as GNOME-related projects for better integration with the OS. My role in the project also involves managing incoming contributions and making sure our applications work as expected.

• Co-author of "FastIoT - A Compression Model for Displaying a Huge Volume of IoT data in Web Environments" (publication pending)
• Main author of "Anticipating faults by predicting non-linearity of environment variables with neural networks: a case study in semiconductor manufacturing" (accepted for presentation at LXAI @ ICML 2021)
• Co-author of "MoStress: a Sequence Model for Stress Classification" in 2022 International Joint Conference on Neural Networks (IJCNN), Padova, Italy, 2022.