https://github.com/matbme/matbme
About me
https://github.com/matbme/matbme
Last synced: 11 months ago
JSON representation
About me
- Host: GitHub
- URL: https://github.com/matbme/matbme
- Owner: matbme
- Created: 2020-07-10T13:12:00.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-08-13T21:47:18.000Z (over 1 year ago)
- Last Synced: 2025-01-12T23:49:05.826Z (about 1 year ago)
- Size: 21.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## Welcome to my own little plane of Oblivion! 🪐
My name is Mateus Begnini Melchiades and I am a Software Developer and Researcher in Machine Learning.
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 work as a Software Developer at SAP Labs Latin America, where I develop backend services related to Data Science.
I also hold a bachelor's degree in Computer Science from the University of Vale do Rio dos Sinos (UNISINOS), 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](https://vanillaos.org), 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
### My creations
- *JABS.nvim*: A minimal buffer switcher window for Neovim written in Lua.
- *tree-sitter-vala*: A [tree-sitter](https://tree-sitter.github.io/tree-sitter/) implementation for the [Vala](https://wiki.gnome.org/Projects/Vala) programming language.
- *Albius*: An installer backend focused on immutable Linux distributions, but suitable for all distros (part of Vanilla OS)
### Larger projects I contribute to
- [Vanilla OS](https://vanillaos.org) 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.
### Research papers I worked at:
- 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.