8000 ingrydf12 (Ingryd'') · GitHub
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:shipit:
studying hard
:shipit:
studying hard
43 followers · 66 following

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

Highlights

  • Pro

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@Apple-Developer-Residency-IFCE

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ingrydf12/README.md

I'm from Fortaleza, Brazil. I'm currently an undergraduate student at the Federal University of Ceará, studying Digital Systems and Media. I've been passionate about technology, innovation, and games since I was a child and started programming in mid-2022. I'm currently looking for my first opportunity and this is my GitHub, where I share projects, studies, open-source projects, and my evolution in programming. I hope you like it! 😉

Interested in: Mobile development, UI/UX, back-end, full-stack development and cybersecurity.

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Skills

My Skills

Tools with experience

Ferramentas com experiência aseprite/libresprite insomnia xcode azure jupyter postman docker

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  1. feedlabs feedlabs Public

    Challenge de Acessibilidade e dinâmica no laboratório, no qual foi desenvolvido um aplicativo iOS de feedback colaborativo, Feedlabs, utilizando SwiftUI e integração com Firebase.

    Swift 4

  2. Petnet-Backend Petnet-Backend Public

    Forked from yasminmendes487/PetNet

    O Petnet é uma aplicação web desenvolvida que ajuda a modernizar e simplificar o processo de adoção. O objetivo é gerenciar de forma eficiente os dados dos animais disponíveis para adoção, facilita…

    JavaScript 1

  3. igdaproject igdaproject Public

    Jogo desenvolvido no GameMaker Studio durante ciclo 2024.1 da Academia IGDA, com a temática beat'em'up multiplayer top-down.

    Yacc 1

  4. pomodoroIos pomodoroIos Public

    Um pomodoro simples, com implementação de timer e notificação, utilizando SwiftUI, Timer e AVKit. Essa pequena aplicação é um caso de estudo a parte para implementação de um projeto futuro.

    Swift 2

  5. intuitive-challenge intuitive-challenge Public

    Repositório com projetos desenvolvidos como parte do processo seletivo da IntuitiveCare, contendo soluções de transformação, extração, análise e visualização de dados utilizando Vue.js, FastAPI, Py…

    Python

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