Stefan Schlotter
Data Scientist
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolStefan Schlotter is a Senior Data Scientist and AI Engineer with 20 years of experience building and deploying enterprise-scale ML solutions that bridge technical depth and business impact. Based in Boston, he has led cross-functional AI projects at Palo Alto Networks—delivering churn prediction, explainable AI chatbots, NL-to-SQL agents and proprietary agentic frameworks—and now drives data science at BCG/BCG X. A prolific open-source contributor in the scientific Python ecosystem, Stefan has contributed to scikit-image, SciPy, NumPy and the Elegant SciPy book, improving algorithms, tests and tutorials used widely by researchers and practitioners. He excels at translating complex models into stakeholder-facing stories and production integrations, routinely presenting to CxOs and winning internal awards for technical impact. Beyond production ML, his background includes UI/backend work on Jupyter/IPython and reproducible tooling for SciPy proceedings, reflecting a rare mix of research, developer tooling and deployment experience.
19 years of coding experience
5 years of employment as a software developer
Bachelor of Arts - BA Economics, Bachelor of Arts - BA Economics at University of California, BerkeleyHigh School Diploma, High School Diploma at Sacred Heart Schools, Atherton
German
Stackoverflow
7,215reputation
895kreached
116answers
6questions
scipy
top-5%
image-processing
top-1%
python
top-5%
numpy
top-5%
computer-vision
top-5%
opencv
top-5%
Github Skills (76)
notebook10
tractography10
python10
image-processing10
testing10
text-formatting10
build-automation10
medical-imaging10
scientific-computing10
self-organization10
javascript10
pandas10
dockers10
implement10
numpy10
Programming languages (27)
Github contributions (5)
scikit-image/skimage-tutorials
Aug 2014 - May 2021
skimage-tutorials: a collection of tutorials for the scikit-image package.
Role in this project:
Technical Writer & Tutorial Contributor
Technical Writer & Tutorial ContributorContributions:4 reviews, 103 commits, 12 PRs in 6 years 9 months
Contributions summary:Stefan's commits focus on modifying and reorganizing tutorial content within the scikit-image project. These changes include restructuring directory layouts, updating table of contents, adjusting headers, and making minor content updates. This indicates a role focused on improving the organization and clarity of the tutorials.
scikit-imagepythondata-scienceskimagemachine-learning
scikit-image/scikit-image
Sep 2011 - Jan 2023
Image processing in Python
Role in this project:Developer (with a focus on image processing algorithms)
Developer (with a focus on image processing algorithms)Contributions:785 reviews, 1351 commits, 730 PRs in 11 years 6 months
Contributions summary:Stefan's commits focus on implementing and refining image processing algorithms. Their work includes adding support for new features like color conversion, various filter implementations (e.g., unsharp masking, median filtering), and utility functions such as the summed area table, as well as improvements to existing algorithms. They also contributed to the testing framework for the library. These efforts improved the image processing capabilities of the library.
image-processingpythoncomputer-visionimage
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