Diógenes Barbosa
Analista De Dados at Mobi7 Localiza
Minas Gerais, Brazil
Summary
🤩
Rockstar🎓
Top SchoolDiógenes Barbosa is a data analyst and production engineer with 10 years of experience bridging business needs and technical delivery across logistics, education, and mobility sectors. He currently turns SQL-driven data pipelines in Amazon Athena and BigQuery into Power BI dashboards that inform operational and strategic decisions at Mobi7 Localiza. Previously he combined product ownership and agile coaching as a Product Owner and Scrum Master, shaping roadmaps, backlog practices, and team delivery metrics. As a full-stack contributor to the open-source Langflow project, he has hands-on experience improving React/TypeScript UIs and refactoring Python backend components for AI workflow tooling. Comfortable both in process improvement (Lean/Six Sigma) and coding, he excels at translating messy operational problems into measurable, data-backed solutions. Based in Minas Gerais, he brings a pragmatic blend of engineering rigor, product sensibility, and open-source contribution to data-driven initiatives.
10 years of coding experience
3 years of employment as a software developer
Pós-graduação Lato Sensu - Especialização, Análise de Dados, Pós-graduação Lato Sensu - Especialização, Análise de Dados at Faculdade VINCITGraduação, Engenharia de Produção, Graduação, Engenharia de Produção at Universidade Federal de Ouro Preto
English, English
Github Skills (16)
typescript10
typescripts10
backend10
front-end-development10
back-end-development10
react10
typescript-types10
chromadb10
langchain9
python9
agent8
large-language-models8
generative-ai7
git6
docker6
Programming languages (6)
Github contributions (5)
langflow-ai/langflow
Jul 2023 - Sep 2023
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 review, 6 PRs, 18 pushes in 2 months
Contributions summary:Diógenes contributed significantly to both the backend and frontend of the Langflow project. Their work included adding and modifying UI components using React and TypeScript, enhancing the user interface and community page functionalities. They also focused on backend improvements, such as refactoring the Chroma custom component, and fixing import issues across multiple backend files. Furthermore, the user worked on updating and configuring the development environment, indicating involvement in setting up the project's infrastructure.
chatgptgenerative-ailarge-language-modelsreact-flow
diogenesdirkx/LooselyCoupledMonolith
Nov 2022 - Mar 2023
Contributions:8 pushes in 3 months
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