Gabriela Guedes

Software Engineer at Netflix

São Paulo, Brazil
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Summary

👤
Senior
🎓
Top School
Gabriela Guedes is a software engineer based in São Paulo with eight years of experience building full-stack and backend systems across startups and tech giants, now contributing at Netflix. She has strong Java, JavaScript (React/Next), Ruby on Rails, and cloud (AWS, Docker, Kafka) expertise, and a history of shipping production services and mobile apps. Gabriela is an active open-source contributor who worked on core validation, testing, and documentation for the widely used Rasa conversational AI framework, showing attention to maintainability and developer experience. Comfortable in cross-functional, international teams and Agile workflows, she moves quickly between stacks and emphasizes test-driven development. With a Software Engineering degree from Universidade de Brasília, she combines rigorous engineering foundations with a habit of learning new technologies on the job.
code8 years of coding experience
job5 years of employment as a software developer
bookBacharelado, Engenharia de Software, Bacharelado, Engenharia de Software at Universidade de Brasília
languagesEnglish
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Github Skills (8)

bot-framework10
nlu10
rasa10
python10
natural-language-processing10
pytest9
machine-learning9
documentation8

Programming languages (14)

C#JavaCSSC++CVueHTMLJupyter Notebook

Github contributions (5)

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RasaHQ/rasa

May 2019 - Jun 2019

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
userFull-stack Developer
Contributions:19 commits, 2 PRs, 10 comments in 1 month
Contributions summary:Gabriela contributed to the development of a validation class within the Rasa core framework, suggesting a focus on backend logic. The user also added tests for the validator, demonstrating a commitment to code quality and test-driven development. Furthermore, the user updated documentation and added a command for validation, indicating involvement in project maintainability and user experience. This user likely contributed to core components of the Rasa framework.
nlupythonbotspeech-recognitionbotkit
Contributions:91 pushes in 7 days
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