Christian Merkwirth

AI Staff Software Engineer at Maze

Krakow, Lesser Poland Voivodeship
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Summary

👤
Senior
🎓
Top School
Christian Merkwirth is an AI staff software engineer based in Krakow with two decades of ML/DL experience and a decade-plus track record of moving research into production across startups and Google. He has deep expertise in building and deploying deep learning systems (JAX, TensorFlow, PyTorch) and has led teams that shipped novel revenue-management and simulation systems, RL solutions, and production-grade model training pipelines. An early pioneer of graph neural networks—publishing one of the first molecular GNNs trained with SGD in 2005—he also adopted TPUs and custom trainer tooling years before mainstream adoption. Christian blends hands-on model engineering with product leadership, consulting across companies like Flyr, Nomagic and Maze while currently holding an AI staff role at Google and advising clients through nexocode. Notably, he pairs academic rigor (Max Planck research, university teaching) with pragmatic system-building, from C++ simulation cores to scalable DL trainers.
code8 years of coding experience
job22 years of employment as a software developer
bookWilhelm-Filchner Gesamtschule
bookBiomathematics, Bioinformatics, and Computational Biology, Biomathematics, Bioinformatics, and Computational Biology at Max Planck Institute for Computer Science
bookDoctorate, Physics, Doctorate, Physics at The University of Göttingen
languagesEnglish, German, Polish, Russian
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Github Skills (46)

biology10
gnn10
drug-discovery9
discovery9
chemistry9
efficientnet9
graph-representation-learning8
science8
deep-learning8
google-colaboratory8
quantum-chemistry8
graph7
object-detection6
box2d6
pybind116

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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christianmerkwirth/colabs

Jun 2018 - Jan 2021

Contributions:38 commits, 35 pushes, 1 branch in 2 years 7 months
Contributions:7 pushes, 1 branch in 1 year 3 months
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Christian Merkwirth - AI Staff Software Engineer at Maze