Guillaume Tauzin
Lausanne, Vaud, Switzerland
Summary
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Rockstar🎓
Top SchoolGuillaume Tauzin is a data science consultant and open-source contributor with nearly a decade of experience specializing in time series forecasting, anomaly detection, and production-ready ML systems. He combines a strong academic background in applied mathematics and physics with hands-on engineering—having led ML research at EPFL, built high-performance simulation libraries, and authored giotto-tda and kedro-dagster to bridge research and production workflows. His work emphasizes modular, interpretable pipelines and MLOps best practices, routinely deploying Kedro, Dagster, MLflow and Docker in real-world energy and grid applications. Comfortable across the stack, he has applied GPU-accelerated computing and uncertainty-aware decision models to electricity price forecasting and battery storage problems. Based in Lausanne, he runs consulting through stateful-y and mentors teams on clean APIs and maintainable ML architecture, bringing a rare blend of theoretical rigor and pragmatic engineering.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at Bergische Universität WuppertalM.Sc in Engineering, Major in Applied Mathematics, M.Sc in Engineering, Major in Applied Mathematics at ENSTAUniversity of TokyoPreparatory Classes:Mathematics, Physics, and Engineering, Preparatory Classes:Mathematics, Physics, and Engineering at Lycée Gustave EiffelDoctor of Philosophy (Ph.D.), Theoretical Physics, Doctor of Philosophy (Ph.D.), Theoretical Physics at University of Rome Tor Vergata
English, French, Japanese, Italian, German
Github Skills (87)
plotly-dash10
dashboard10
python10
toolbox10
topological-data-analysis10
kedro10
infrastructure10
deep-learning10
modular10
scikit10
statistics10
ai10
pipeline10
mapper10
plotly10
Programming languages (5)
Github contributions (5)
Steenroder/steenroder
Jun 2020 - May 2022
Computation of persistence Steenrod barcodes
Contributions:6 reviews, 104 commits, 15 PRs in 1 year 11 months
computationcomputational-topologybarcodespdf417data-science
gtauzin/giotto-tda
Dec 2019 - Oct 2020
A high performance topological machine learning toolbox in Python
Contributions:12 PRs, 267 pushes, 59 branches in 9 months
pythontopological-machine-learningtoolboxmachine-learningtopology
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