Norman Rzepka
Managing Director at scalable minds
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolNorman Rzepka is a Berlin-based technology leader and entrepreneur with 14 years of experience building scalable web and imaging systems as Co-Founder and Managing Director of scalable minds and CTO of Racemap. He specializes in AI-driven analysis and visualization of large 3D biomedical images—shipping products like WEBKNOSSOS and Voxelytics that help life-science researchers manage and analyze massive datasets. Equally hands-on across the stack, he contributes to open-source projects such as Rasa (improving NLU, DevOps, and integrations) and built a React-based chatroom component integrating speech recognition and debugging tools. His background blends academic rigor from Hasso Plattner Institute with practical machine-learning work at the Max Planck Institute and a brief fellowship at McKinsey, reflecting both research depth and business acumen. Known for turning complex imaging problems into usable tools, he combines product vision with day-to-day engineering leadership.
14 years of coding experience
Master of Science (M.Sc.), IT Systems Engineering, Master of Science (M.Sc.), IT Systems Engineering at Hasso Plattner Institute
Stackoverflow
411reputation
29kreached
3answers
0questions
Github Skills (25)
javascript10
python10
machine-learning10
rasa10
front-end-development10
react10
boto9
sc9
aws9
scs9
html8
css8
testing8
cicd7
speech-recognition7
Programming languages (18)
Github contributions (5)
scalableminds/chatroom
Mar 2018 - Sep 2019
React-based Chatroom Component for Rasa Stack
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:112 commits, 16 PRs, 57 pushes in 1 year 6 months
Contributions summary:Norman primarily contributed to the front-end development of a React-based chatroom component. Their work involved implementing core UI elements, including message display, button functionality, and speech recognition integration. They also focused on styling the chatroom, managing state, and integrating with a backend API. Furthermore, the user added the demo mode and debugger features for improved testing and usability.
reactjsreactchatroomrasa
RasaHQ/rasa
Nov 2016 - Oct 2018
đź’¬ 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 & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:7 commits, 2 PRs, 1 comment in 1 year 11 months
Contributions summary:Norman primarily contributed to improving the Rasa NLU framework, focusing on bug fixes, and enhancements to functionalities such as entity parsing and Wit emulator. They addressed issues related to markdown conversion and also made modifications to the AWS persistor. Furthermore, the user made changes to the project setup, including explicit imports and adjustments to documentation. The user's contributions also involved merging branches, updating the changelog, and related tests, suggesting a role that spans both development and DevOps tasks.
nlupythonbotspeech-recognitionbotkit
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