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WAGMI
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WAGMI
58 followers · 125 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

Highlights

Organizations

@ucsal @fesflabs @satscapital-company @Codee-Hub

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yan-pi/README.md

AHOY! :D

About me

I'm a Full Stack Developer passionate about studying various languages and technologies.

I'm particularly enthusiastic about BTC and WEB3. You can see a more detailed overview of my career path here.

For updates on what I'm currently working on, check out my Twitter.

My WakaTime Stats:

From: 29 February 2024 - To: 27 March 2025

Total Time: 1,638 hrs 28 mins

TypeScript                 987 hrs 41 mins ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   59.31 %
Markdown                   143 hrs 38 mins ⣿⣿⣄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   08.63 %
JavaScript                 76 hrs 34 mins  ⣿⣄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   04.60 %
Bash                       54 hrs 43 mins  ⣷⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   03.29 %
Lua                        36 hrs 48 mins  ⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   02.21 %
Python                     35 hrs 29 mins  ⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   02.13 %
MDX                        32 hrs 4 mins   ⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   01.93 %
Go                         27 hrs 27 mins  ⣤⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   01.65 %

Pinned Loading

  1. nvim nvim Public

    my nvim config

    Lua 2

  2. VSCode Settings VSCode Settings
    1 
    {
    2 
      // Configuração do editor
    3 
      "editor.fontFamily": "JetBrains Mono",
    4 
      "editor.fontSize": 15,
    5 
      "editor.lineHeight": 1.8,
  3. zettelkasten zettelkasten Public

    My Public Zettelkasten :D

    MDX 1

  4. parking-nest-microservices parking-nest-microservices Public

    This project demonstrates a microservices architecture using NestJS, Prisma, RabbitMQ, and SQLite. The application consists of several independent services that communicate through a message bus (R…

    TypeScript 1

  5. flower-species-classifier flower-species-classifier Public

    This project demonstrates a basic MLOps pipeline using Docker, Kubernetes, and Pyenv to manage Python environments. It includes a classification model trained with the Iris dataset.

    Python 4

  6. go-opportunities-api go-opportunities-api Public

    This project provides a Go API to manage job openings, using the Gin framework for routing and GORM for database interaction.

    Go 1