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.
13 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 (81)
gpt10
cuda10
pytorch10
inference10
openai10
knowledge-graph9
transformer9
python9
deep-learning9
org-mode9
llm9
tpu9
machine-learning9
keras9
amd9
Programming languages (7)
Github contributions (5)
lavis-nlp/irt2
Mar 2022 - Oct 2022
Inductive Reasoning with Text
Contributions:3 releases, 74 commits, 2 PRs in 7 months
kantholtz/ktz
Nov 2021 - Dec 2022
Python Tools
Contributions:6 releases, 74 commits, 2 PRs in 1 year
pythonpython-3python-toolspython3python2
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