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carvalho-ra/README.md

Rodrigo Carvalho

Software Engineer | Backend Development | Python | Docker | Linux


Engenheiro de Software formado pela École 42 (42Rio), com foco em desenvolvimento backend, aplicações web e ambientes Linux.

Tenho experiência prática com desenvolvimento de aplicações em Python e C, APIs REST, bancos de dados, Docker, automação de ambientes e arquitetura cliente-servidor.

Background interdisciplinar que integra Educação e Tecnologia, com experiência em educação digital e desenvolvimento de software.

🛠️ Tecnologias e Ferramentas

  • Linguagens: Python, C, JavaScript, Shell Script
  • Backend e Web: FastAPI, Flask, Django, Django REST Framework, React, HTML, CSS
  • Banco de Dados: PostgreSQL, SQLite, SQLAlchemy
  • Infraestrutura e Ferramentas: Docker, Docker Compose, Git, Linux (Debian/Ubuntu), Nginx, Gunicorn, Railway
  • Dados e IA: Pandas, Scikit-learn, Plotly, Streamlit, Ollama
  • Boas práticas: Clean Code, APIs REST, Testes Automatizados, Metodologias Ágeis

💻 Confira meus projetos públicos abaixo.


Portfolio 42rio LinkedIn Email Discord

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  1. peer-learning-platform peer-learning-platform Public

    A modern full-stack platform inspired by the peer-to-peer learning model used by School 42. Students progress through learning paths, submit projects, perform peer evaluations, and track their lear…

    Python

  2. Local-RAG-API Local-RAG-API Public

    Retrieval-Augmented Generation with Python, PostgreSQL/pgvector and Ollama.

    Python

  3. community community Public

    Community web application built with Python, Flask and Bootstrap.

    HTML

  4. Inception Inception Public

    This project focuses on system administration and Docker containerization.

    CSS 1

  5. 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

  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