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sergiogallegos/README.md

Hi there πŸ‘‹

πŸ‘¨β€πŸ’» About Me

  • ⏰ I’m working at Valtrek as an Automation & Controls Engineer.
  • 🌱 I’m pursuit the Master Degree in Software Engineering.
  • πŸ—οΈ I’m looking to collaborate on Open Source Projects.
  • ⚑ Father of 2.
  • πŸ› Hobbies: youtube, netflix, programming, reading, running, gym, soccer.
  • πŸ‘¨β€πŸ’» Setup: i3, kitty, tmux, neovim, kinesis keyboards, MX-ergo mouse, 1-2 Monitors.
  • πŸ‘¨β€πŸ’» OS: Work(Windows), School(MacOS), HomePC(Linux/Fedora).
  • πŸ¦€ Interseted in Learn: Rust, Go, Ocaml, Zig, Typescript.
  • 🏫 Used at School: Java, Python, C, C++, Javascript.
  • πŸ‘¨β€πŸ’Ό Some Use at Work: C#, SQL.

πŸ› οΈ Languages and Tools I'm Interested: :

vimΒ  linuxΒ  CΒ  C++Β  PythonΒ  JavaΒ  goΒ  RustΒ  TypeScriptΒ  JavaScriptΒ  HTMLΒ  CSSΒ  OCAMLΒ  ZIGΒ 

πŸ”₯ My Stats :

GitHub Streak

Top Langs

πŸ–₯️ PC & Workstation Setup

πŸ”§ PC Hardware

  • Case: CORSAIR 4000D AirFlow Mid-Tower ATX
  • Motherboard: MSI MAG B650 Tomahawk
  • CPU: AMD Ryzen 9 7900X (12-Core / 24 Thread)
  • Cooler: Cooler MasterLiquid ML240L RGB V2
  • GPU: NVIDIA ZOTAC Gaming RTX 3060 Twin Edge.
  • RAM: CORSAIR VENGEANCE DDR5 64GB (2x32GB)
  • Storage: Samsung 980 PRO SSD (2TB + 1TB)
  • Power Supply: Corsair RM1000x
  • UPS: APC Back-UPS Pro BN 1500VA
  • Keyboard: Kinesis Advantage 2 & 360 / HHKB Type-S
  • Mouse: Logitech G502 Hero / MX Ergo

πŸ”Š Audio Setup

  • Headphones: Audio-Technica ATH-M50X
  • Mixer: TC-Helicon GoXLR
  • Microphone: Shure SM7B

πŸŽ₯ Video & Streaming

  • Capture Card: Elgato HD60 X
  • Camera: Sony Alpha a6400
  • Lens: Sigma 16mm f/1.4
  • Webcam: Logitech C922 Pro Stream

🧩 Peripherals

  • Stream Deck: Elgato Stream Deck MK.2
  • Tablet: Wacom Intuos Pro
  • Lighting: Elgato Key Light Pro 2800

πŸ’» Laptop

  • MacBook Pro M2 14” – 16GB RAM, 512GB SSD

Pinned Loading

  1. rust-ethernet-ip rust-ethernet-ip Public

    High-performance Rust EtherNet/IP driver for Allen-Bradley PLCs. Integration with C#, Go, and Python.

    Rust 18 4

  2. tensorcore tensorcore Public

    High-performance C++ tensor library with Python bindings for machine learning

    C++