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carvalho-ra/README.md

Rodrigo Carvalho

Engenheiro de Software | Backend | Docker | CI/CD | Python | C++ | C


Engenheiro de Software formado pela École 42 (42Rio), com foco em Backend Development, Docker e ambientes Linux.
Tenho experiência prática com CI/CD, containerização e desenvolvimento de aplicações em Python, C e C++.

🚀 Buscando Oportunidades

Atualmente, busco oportunidades como Backend Developer ou DevOps Engineer, onde possa aplicar e aprimorar minhas habilidades técnicas.
Tenho especial interesse em ambientes Linux, CI/CD pipelines, e no desenvolvimento de aplicações com Python, C++, C e Docker.

🛠️ Tecnologias e Ferramentas

  • Linguagens: Python, C, C++, Shell Scripting
  • Frameworks: Flask, Django, Django REST Framework, Django Channels
  • Infraestrutura e DevOps: Docker, Docker Compose, Nginx, Gunicorn, ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana, CI/CD com GitHub Actions, Linux (Debian, Ubuntu)
  • Boas práticas: Clean Code, Git, Testes Automatizados, Metodologias Ágeis

💻 Confira meus projetos públicos abaixo e sinta-se à vontade para entrar em contato.

Discord 42rio LinkedIn Email

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  1. Docker_minishell Docker_minishell Public

    A simple Unix shell (minishell) running inside a Docker container.

    Dockerfile 1

  2. Inception Inception Public

    This project focuses on system administration and Docker containerization.

    CSS 1

  3. Minishell Minishell Public

    This project aims to develop a basic shell, similar to a customized version of bash.

    C 1

  4. local-llm-chat local-llm-chat Public

    This project creates a simple web-based chat interface using Streamlit that interacts with a local AI language model served by Ollama.

    Python

  5. ml-credit-score-prediction ml-credit-score-prediction Public

    This project builds machine learning models in Python to predict customer credit scores based on demographic and behavioral data. It uses the Random Forest and K-Nearest Neighbors (KNN) algorithms …

    Python

  6. python-data-analysis python-data-analysis Public

    Exploratory data analysis in Python focused on identifying customer churn patterns and proposing strategies to reduce cancellations, using libraries such as Pandas and Plotly.

    Python