Benjamin Raethlein
Senior Software Engineer at Snowflake
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolBenjamin Raethlein is a Senior Software Engineer based in Berlin with 12 years of experience building full-stack, cloud-native ML platforms and developer tools. He has driven production-ready ML tooling and MLOps—designing Docker/Kubernetes-backed ML Studio at SAP and an end-to-end MLOps platform as a founder—before joining Streamlit and continuing that work at Snowflake. A hands-on open-source contributor, he has improved the widely used Streamlit library (front-end image/UI fixes and new widgets) and hardened ML IDE infrastructure in ml-workspace through DevOps automation. He blends applied machine learning, knowledge graph research (top grades for his thesis), and practical engineering to move prototypes into scalable deployments. Notably, he combines product-facing UI work with low-level deployment and CI improvements, making him equally comfortable shipping UX features and streamlining build pipelines.
12 years of coding experience
5 years of employment as a software developer
A Level Highschool, A Level Highschool at SchwalmgymnasiumBachelor of Science Business Information Technology, Bachelor of Science Business Information Technology at Duale Hochschule Baden-Württemberg (DHBW) KarlsruheMaster of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Karlsruhe University of Applied Sciences
English, German, Spanish
Stackoverflow
91reputation
12kreached
5answers
0questions
Github Skills (35)
kubernetes10
github-ci10
javascript10
docker10
python10
dockers10
automation10
automation-testing10
kubernetes-pods10
automations10
githubaction-workflow10
react10
jupyter9
ui-design9
front-end-development9
Programming languages (11)
Github contributions (5)
ml-tooling/ml-workspace
Jun 2019 - Feb 2022
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Role in this project:
DevOps Engineer
DevOps EngineerContributions:78 commits, 4 PRs, 53 pushes in 2 years 8 months
Contributions summary:Benjamin primarily contributed to improving the project's infrastructure and build processes. Their commits focused on refining the tooling extension, incorporating GitHub Actions for automated builds, and updating various dependencies for tools used within the workspace. Furthermore, the user addressed a bug in the start script and made configurations easier by bringing settings into the ProxyCommand directive. These changes suggest a focus on improving the development environment and streamlining the build and deployment process.
pythonjupyter-notebookanacondatensorflowscience
streamlit/streamlit
Sep 2021 - Sep 2021
Streamlit — A faster way to build and share data apps.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:1245 reviews, 4 commits, 237 PRs in 3 days
Contributions summary:Benjamin made significant contributions to the `streamlit/streamlit` repository, focusing on both front-end and back-end aspects. Their work involved fixing UI issues related to image handling and ensuring proper rendering of various image formats, including SVGs. They also addressed back-end issues by renaming the 'streamlit sharing' service to 'streamlit cloud' and updating relevant URLs and links. Additionally, the user improved the functionality and design of the front-end UI by modifying the tooltip rendering and introducing the new st.pills widget.
data-analysispythondata-sciencedeep-learningfastest
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