Pavol Bauer
Principal Data Scientist Agentic AI
Vienna, Austria
Summary
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Senior🎓
Top SchoolPavol Bauer is a Principal Data Scientist specializing in agentic and generative AI with 13 years of industry experience and a background of two decades in computational sciences. He combines academic rigor from a PhD in Scientific Computing with hands-on engineering across neurobiology research labs and enterprise ML platforms, having led ML and squad-level efforts at T-Systems and now Dynatrace. Pavol designs cloud-native MLOps, LLM serving and RAG systems, and has applied deep learning to pose estimation and neuronal signal analysis, bridging biological insight and production AI. Comfortable in high-performance languages (C/C++) and modern ML stacks, he has shipped research-grade simulation libraries and production AI tooling alike. Based in Vienna, he’s equally at home optimizing stochastic simulations as he is architecting scalable LLM pipelines—bringing a rare blend of high-performance computing, computational neuroscience, and enterprise deployment experience.
13 years of coding experience
10 years of employment as a software developer
Vienna University of TechnologyDoctor of Philosophy - PhD Scientific Computing, Doctor of Philosophy - PhD Scientific Computing at Uppsala University
English, German, Swedish, Slovak
Github Skills (53)
deconvolution10
stochastic10
variational-autoencoder10
autoencoder10
sdk10
optical-flow10
intel9
toolbox9
movie9
biomechanics9
temporal-data9
hardware9
payment-methods9
extraction9
reaction9
Programming languages (4)
Github contributions (5)
mcapuccini/cloud-insight
Dec 2016 - Jul 2021
Contributions:2 PRs, 20 pushes, 3 branches in 4 years 7 months
pavolbauer/lgca
Mar 2016 - Aug 2024
Contributions:5 pushes, 1 branch in 8 years 5 months
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