Lucas Antunes
Foward Deployed Engineer at Bluecore
Brasília, Federal District, Brazil
Summary
👤
Senior🎓
Top SchoolLucas Antunes is a forward-deployed engineer with nearly nine years in software development, currently building customer-facing solutions at Bluecore after delivering full-stack systems for Itaú via NTT DATA. He blends front-end expertise in Angular and React with robust back-end design using Spring Boot and Java, and brings practical DevOps experience including AWS, Docker, Kubernetes, and CI/CD pipelines. Lucas has driven modernization efforts—migrating AWS infrastructure, upgrading legacy workflows, and increasing test coverage—while mentoring peers and teaching AWS internally. An active contributor to open-source, he improved LUIS schema handling in the well-known Rasa conversational AI project, demonstrating attention to compatibility and quality in integrations. He is motivated by creating software that positively impacts users and applies clean architecture and testing discipline to ship resilient, scalable systems.
9 years of coding experience
1 year of employment as a software developer
Bacharelado, Engenharia de Software, Bacharelado, Engenharia de Software at Universidade de Brasília
English, German, Portuguese
Github Skills (8)
nlu10
rasa10
python10
natural-language-processing10
chatbot10
machine-learning-models9
machine-learning9
testing7
Programming languages (8)
Github contributions (5)
RasaHQ/rasa
Oct 2019 - Nov 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:
Back-end Developer
Back-end DeveloperContributions:6 commits, 5 PRs, 7 comments in 1 month
Contributions summary:Lucas primarily focused on improving the handling of LUIS schema versions within the Rasa NLU framework. Their contributions included validating the schema structure, adjusting warnings to use logging, and correcting a "magic number." They also made changes to the tests and documentation. These modifications focused on enhancing the compatibility and stability of the LUIS integration within the Rasa ecosystem.
nlupythonbotspeech-recognitionbotkit
AUD-CAUC/SISCOVI
Feb 2019 - Nov 2019
Contributions:6 PRs, 89 pushes, 32 branches in 9 months
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