Andreas Mueller
Member Of Technical Staff at OpenAI
Los Gatos, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAndreas Mueller is a technically prolific professional with 15 years' experience bridging scientific research, machine learning engineering, and commercial roles, currently working as a Sales Manager at Pfizer from Mannheim, Germany. He is a core contributor to scikit-learn and a Principal Research SDE at Microsoft (per his GitHub bio), demonstrating deep expertise in ML libraries and open-source tooling. His open-source work spans high-impact projects—nbconvert, scikit-image, numpy/numpydoc, openml-python—and includes both algorithmic improvements and documentation/test infrastructure, reflecting a rare blend of research-grade coding and user-focused communication. Earlier roles at Merck and long-term involvement in ML education (notebooks for "Introduction to Machine Learning with Python") show he pairs domain knowledge with practical deployment experience. Colleagues know him for clean backend implementations, thoughtful test automation, and improving developer experience across projects. He brings a scientist’s rigor to product and sales-facing roles, making technical complexity accessible to nontechnical stakeholders.
15 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at The University of Bonn
English, German
Stackoverflow
28,118reputation
2.8mreached
252answers
21questions
classification
top-1%
conda
top-1%
scikit-learn
top-1%
python
top-1%
machine-learning
top-1%
anaconda
top-1%
Github Skills (54)
data-visualizations10
markdown10
algorithms10
pytest10
python10
jupyter10
data-science10
classification10
wordcloud10
image-processing10
testing10
sphinx10
scikit10
pandas10
machine-learning10
Programming languages (25)
Github contributions (5)
dabl/dabl
Sep 2018 - Dec 2022
Data Analysis Baseline Library
Role in this project:
Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:3 releases, 3 reviews, 302 commits in 4 years 4 months
Contributions summary:Andreas primarily contributed to the development of a data analysis library by implementing and improving plotting functions and tools for machine learning. They focused on creating exploration plots for regression and classification tasks, including enhancements like improved categorical feature visualization and the incorporation of outlier handling. The user demonstrated expertise in analyzing datasets from openML datasets and also worked on model development and evaluation within the library, by building pipelines with preprocessing steps.
exploratory-data-analysisdata-analysisdata-science
pystruct/pystruct
May 2012 - Sep 2021
Simple structured learning framework for python
Role in this project:Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:1 release, 1038 commits, 20 PRs in 9 years 5 months
Contributions summary:Andreas's primary contributions involved implementing and refining machine learning algorithms for structured prediction within the pystruct framework. They worked on several key features, including latent-variable methods, integrating the "ad3" solver, and contributing to the design of the API. This is further substantiated by their focus on developing and testing model components.
pythonstructuredframeworkmachine-learningframework-learning
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