Christoph Schuhmann
Organisational Lead
Hamburg, Germany
Summary
🤩
Rockstar🎓
Top SchoolChristoph Schuhmann is an organisational lead and machine learning practitioner with nine years of experience bridging research, education, and community-driven AI initiatives from Hamburg. He leads the non-profit LAION, coordinating open ML research and hands-on projects—such as his CLIP+MLP aesthetic score predictor built on LAION data—while also working as an IT administrator and teacher for Stadt Hamburg. Trained in computer science, physics and psychology, and with method acting background, he blends technical rigor with human-centered communication and storytelling. His past nonprofit film work that helped spawn 30+ school startups demonstrates a knack for turning ideas into scalable social impact. A father of two, he brings pragmatic leadership and curiosity-driven experimentation to both organisational strategy and model development.
9 years of coding experience
2 years of employment as a software developer
Magister rer. nat. Computer Science & Physics degree for Higher Education, Magister rer. nat. Computer Science & Physics degree for Higher Education at University of ViennaMethod Acting (Eric Morris - System), Method Acting (Eric Morris - System) at Actor's Workshop Vienna
Github Skills (17)
pytorch10
python10
machine-learning10
mlp10
webdataset10
clip10
computer-vision10
evaluation9
data-processing9
trainings9
eval9
modeling9
pandas8
image-processing8
git7
Programming languages (6)
Github contributions (5)
christophschuhmann/improved-aesthetic-predictor
Jun 2022 - Jun 2022
CLIP+MLP Aesthetic Score Predictor
Role in this project:
ML Engineer
ML EngineerContributions:23 commits, 23 pushes, 1 branch in 5 days
Contributions summary:Christoph primarily focused on developing and implementing an aesthetic score predictor. Their work involved modifying and utilizing machine-learning models based on CLIP embeddings and Multi-Layer Perceptrons (MLPs). They integrated the model with webdataset for processing data from LAION 400M and wrote scripts to perform inference, visualize results, and prepare data. The commits demonstrate active involvement in model loading, data processing, and running inference pipelines.
mlpdeep-learningclipmachine-learningpredictor
LAION-AI/interesting-text-datasets
Nov 2022 - Dec 2022
Contributions:21 commits, 20 pushes, 1 branch in 28 days
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