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LiamFer/README.md

👨🏻‍💻 William Fernandes

Desenvolvedor Backend

Me chamo William Fernandes, sou formado em Análise e Desenvolvimento de Sistemas e comecei minha carreira em 2023 como estagiário em Desenvolvimento de Software na área industrial. Desde então, atuo como desenvolvedor, com experiência em tecnologias como Java, Python, MySQL, React, Node.Js além de ferramentas como Postman e Insomnia para testes de APIs.

Utilizei o inglês em apresentações técnicas e reuniões globais, aprimorando minha comunicação profissional. Sou apaixonado por lógica, programação e resolução de problemas, com interesse especial por algoritmos e estruturas de dados, que pratico regularmente no LeetCode.


🤖 Linguagens e Tecnologias

Java

Spring

Python

MySQL

JavaScript

TypeScript

React

Node.js

Postman

Insomnia

Git



📊 GitHub Stats


📫 Meus Contatos


Feito com 💻 e ☕ por William

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  1. CloudCart CloudCart Public

    A robust and scalable E-commerce REST API built with Spring Boot. Features secure authentication with JWT, Stripe integration for payments, and Cloudinary for image uploads.

    Java

  2. Trenchat Trenchat Public

    Real-time chat platform built with Spring Boot and WebSockets, featuring instant messaging, multiple chat rooms, and a scalable backend ready for integration with modern frontends.

    TypeScript 1

  3. Taskflow Taskflow Public

    A fullstack productivity app with task creation, completion tracking, realtime collaboration with Websocket and user-friendly design.

    JavaScript

  4. Bookstore Bookstore Public

    Fullstack Library management system built with ASP.NET Core MVC, Entity Framework, C#, and Bootstrap.

    C#

  5. ENEM-Analysis ENEM-Analysis Public

    ENEM data pipeline with web scraping, data processing in Python, and rich visualizations using Streamlit and Jupyter — including an interactive map of Brazil showing regional score distribution.

    Jupyter Notebook 1

  6. Rekami Rekami Public

    A fullstack swipe-based recommendation app for Anime & Manga. Powered by React, NestJS, and Python Machine Learning, with a focus on quick, personalized discovery.

    TypeScript 1