Govert Buijs
Scientific Developer at Rotterdam School of Management, Erasmus University
Randstad, Netherlands
Summary
👤
Senior🎓
Top SchoolGovert Buijs is a Scientific Developer with 14 years of experience building end-to-end software for research and production environments, currently based in the Randstad and working at Rotterdam School of Management, Erasmus University. He specializes in Python-backed systems (Django, Google App Engine), concurrency and distributed-system thinking inspired by the actor model (Erlang), and has practical experience with neural networks and network visualization. Comfortable taking projects from R&D prototypes to production, he frequently collaborates with customers and researchers to turn complex requirements into maintainable software. An avid bug solver, he also contributes to notable open-source projects such as Rasa, where he focused on backend integrations and filesystem handling for real-world conversational AI deployments. His background combines rigorous technical training (MSc Electrical Engineering, Delft) with a long history of hands-on development across languages and domains, which informs a pragmatic approach to scaling research software.
13 years of coding experience
18 years of employment as a software developer
Msc, Electrical Engineering, Msc, Electrical Engineering at Delft University of Technology
Github Skills (10)
bot-framework10
nlp10
conversation10
rasa10
python10
machine-learning8
docker4
dockers4
kubernetes3
kubernetes-pods3
Programming languages (9)
Github contributions (5)
RasaHQ/rasa
Feb 2020 - Feb 2020
💬 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:5 commits, 1 PR, 4 comments in 4 days
Contributions summary:Govert primarily focused on back-end development tasks within the Rasa framework. They implemented changes related to file system interactions, specifically allowing for symbolic links in various parts of the codebase, including importers, data loading, and domain handling. The user also contributed to channel integrations by updating the Mattermost channel and included a new configuration option. Furthermore, the user contributed to the core functionality of the framework by adding a new command-line argument.
nlupythonbotspeech-recognitionbotkit
govertbuijs/ympd
Jun 2016 - Mar 2023
Contributions:2 pushes in 6 years 10 months
websocketsweb-guimpdguistandalone
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