Sebastian Raschka
Founder Principal AI & LLM Research Engineer at RAIR Lab
Madison, Wisconsin, United States
Summary
🤩
Rockstar🎓
Top SchoolSebastian Raschka, PhD, is a founder and principal AI & LLM research engineer with 12+ years of experience bridging academic research and production-grade LLM engineering. He has held tenure-track faculty roles at UW–Madison and led LLM development and education efforts at Lightning AI, emphasizing practical, code-first solutions for high-performance AI systems. An author of multiple bestselling books on machine learning and LLMs, Sebastian is also an active open-source maintainer behind widely used repositories (e.g., python-machine-learning-book series, deeplearning-models, and utility tools like watermark) and has contributed to core projects such as scikit-learn and PyTorch Lightning. His work spans deep learning architectures, model evaluation, and domain applications in biomedicine, and he often translates research insights directly into reproducible notebooks and tooling. Based in Madison, he combines rigorous academic training with a knack for clear educational material and developer-friendly code that accelerates adoption of advanced ML techniques.
12 years of coding experience
6 years of employment as a software developer
High School Degree, High School Degree at Gymnasium Rheinkamp Europaschule MoersBachelor of Science (BSc), Bachelor of Science (BSc) at Heinrich-Heine-Universität DüsseldorfDoctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Michigan State University
German, English
Github Skills (57)
data-visualizations10
xgboost10
catboost10
pytorch10
sqlite10
restructuredtext10
python10
jupyter10
classification10
image-classification10
matplotlib10
scikit10
data-science10
pandas10
machine-learning10
Programming languages (15)
Github contributions (5)
rasbt/matplotlib-gallery
Feb 2014 - Nov 2017
Examples of matplotlib codes and plots
Role in this project:
Data Scientist & Frontend Developer
Data Scientist & Frontend DeveloperContributions:121 commits, 6 PRs, 21 pushes in 3 years 9 months
Contributions summary:Sebastian implemented and visualized data analysis results by creating histograms and scatterplots that provide insights into the structure of the data. The user also utilized a GUI-related front-end library (likely Matplotlib) to generate visualizations with custom labels to support a presentation of their findings. Additionally, the user contributed a 3D plot with interactive elements to the visualization.
altairvenn-diagramseabornpythonjupyter-widget
rasbt/python-machine-learning-book-2nd-edition
Feb 2017 - Dec 2019
The "Python Machine Learning (2nd edition)" book code repository and info resource
Role in this project:Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:206 commits, 44 PRs, 151 pushes in 2 years 11 months
Contributions summary:Sebastian contributed to the Python Machine Learning book code repository by implementing code examples for the book. These examples appear to cover concepts of CNNs using a TensorFlow layers API. The code was focused on demonstrating how to classify images with deep convolutional neural networks.
pythondata-sciencepython-machine-learningmachine-learningcode-book
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