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Hello!


As a software engineer, I possess advanced skills in Python, Django, and PostgreSQL. I specialize in creating scalable and robust web applications, always adhering to industry best practices and delivering high-quality solutions to clients and end-users.

I have extensive experience in writing effective unit tests, ensuring code quality and system functionality. My attention to detail and commitment to solid programming practices enable the early identification and correction of errors, preventing future issues and ensuring system stability.

Additionally, I have knowledge of React and Angular, which allows me to collaborate effectively with front-end development teams to deliver end-to-end solutions. I have experience with Docker, Celery, Redis, and MongoDB, enabling me to manage the entire lifecycle of complex applications. I am constantly motivated by new challenges and continuously seek opportunities to enhance my skills and bring creative and innovative solutions to complex projects.

You can find me in... 🔍

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Miquéias's Projects

dio-lab-open-source icon dio-lab-open-source

Repositório do lab "Contribuindo em um Projeto Open Source no GitHub" da Digital Innovation One.

inventory-system icon inventory-system

Efficient inventory management API for SolFácil's E-commerce, powered by FastAPI, Docker, and PostgreSQL.

loans-for-good icon loans-for-good

Credit analysis and approval API using Django, PostgreSQL, and Celery in the backend, and React in the frontend. Submodules for each part are available in separate repositories for streamlined docker-compose up deployment.

marville-python icon marville-python

Sistema para acompanhamento de demanda de produtos na rede de lojas da empresa Marville

rick-and-morty-travel-plan icon rick-and-morty-travel-plan

This project is an interdimensional travel plans API in the Rick and Morty universe. Developed using Crystal, Kemal, ORM Jennifer, GraphQL, and Docker, the API provides HTTP methods to create, view, update, and delete travel plans, with optimized and scalable responses.

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