Carsten Draschner
Applied Scientist II, AGI Foundations - Nova Foundation Model Research
Berlin, Germany
Summary
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Senior🎓
Top SchoolCarsten Draschner is an Applied Scientist with eight years of experience at the intersection of large-scale ML research and production-grade GenAI systems, currently advancing foundation-model lifecycles for Amazon’s Nova. He combines a Ph.D. in machine learning with hands-on expertise in multi-billion-token data pipelines, distributed training, SFT/RL pipelines and rigorous, non-contaminated evaluation frameworks to push coding capabilities and alignment. Previously he led applied LLM teams and built privacy-preserving GenAI stacks and autonomous evaluation systems for enterprise customers across regulated industries in Europe. His academic work on scalable, ethical ML for knowledge graphs informed open-source contributions to the SANSA Stack and EU H2020 projects, reflecting a sustained interest in sustainable and trustworthy AI. Based in Berlin, he pairs research-pedigree rigor with pragmatic engineering—optimizing data mixes and model-based filtering to squeeze token efficiency and real-world performance from large models.
8 years of coding experience
7 years of employment as a software developer
Doktor rer. nat.(Ph.D.) Informatik / Computer Science, Informatik, Doktor rer. nat.(Ph.D.) Informatik / Computer Science, Informatik at The University of Bonn
English, French, German
Github Skills (32)
spark10
jena10
sansa10
semantic-web10
distributed-computing10
rdf10
apache-jena10
apache9
apache-spark9
analytics9
sda9
inf9
lora9
fine-tuning8
big-data8
Programming languages (6)
Github contributions (5)
carstendraschner/MixEval
Jul 2024 - Mar 2025
The official evaluation suite and dynamic data release for MixEval.
Contributions:4 PRs, 27 pushes, 14 branches in 8 months
carstendraschner/carstendraschner.github.io
Nov 2024 - Feb 2025
My personal website [WIP]
Contributions:2 reviews, 3 PRs, 55 pushes in 3 months
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