Felix Hamann
PHD Candidate
Wiesbaden, Hesse, Germany
Summary
👤
Senior🎓
Top SchoolFelix Hamann is a PhD candidate and experienced full-stack data scientist with over a decade in software engineering, specializing in neural approaches to extract knowledge graphs from large collections of unstructured text. He combines deep research in NLP and neural reasoning with practical systems work—training PyTorch models on multi-GPU lab infrastructure while building interactive tools (Vue3/Nuxt, FastAPI, Redis) that let domain experts refine knowledge models. His background spans low-level systems and backend engineering (Elixir/C, RabbitMQ, RIak) through to teaching advanced algorithms and managing complex Linux-based lab infrastructures. Based in Wiesbaden, Germany, he is as comfortable tuning model training pipelines as he is provisioning large-scale lab environments and production-facing services. An understated strength is his ability to bridge research and engineering: turning academic prototypes into usable, collaborative tooling for industrial text-mining scenarios.
12 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at RheinMain University of Applied Sciences
Github Skills (102)
cuda10
zeplin10
knowledge-graph9
nlp9
hyperparameter-tuning9
python9
deep-learning9
org-mode9
lifecycle9
pytorch9
machine-learning9
keras9
artificial-intelligence9
lightning9
graph9
Programming languages (8)
Github contributions (5)
lavis-nlp/irt2
Mar 2022 - Oct 2022
Contributions:2 releases, 74 commits, 8 pushes in 7 months
kantholtz/dotfiles
Jan 2015 - Apr 2025
Contributions:2 PRs, 285 pushes, 4 branches in 10 years 4 months
configurationansibleconfigconfigurationsdotfiles
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