NLP · Machine Learning · Knowledge Graphs

Cedric Möller

Building and researching ML systems for information extraction.
House of Computing and Data Science, Hamburg.

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I design, build, and evaluate ML systems at the intersection of NLP and knowledge graphs — from production pipelines and deployed APIs to peer-reviewed research. I have led multi-partner R&D projects, published in top semantic web venues, and shipped systems used in operational environments.

Technical Skills

Languages

Python C++ Java

ML / DL

PyTorch LLM Fine-tuning Agentic AI RAG

Frameworks

Transformers LangGraph vLLM Elasticsearch FAISS

Systems

Docker FastAPI CI/CD GPU Clusters

Experience

Aug 2024 – Present

Research Associate House of Computing and Data Science, Hamburg

Leading a team in a multi-partner R&D project focused on AI support for emergency response
Architecting scalable NLP and information extraction pipelines for operational text data
Translating stakeholder requirements into deployable technical solutions

Earlier positions

Aug 2021 – Jul 2024

Research Associate University of Hamburg

Conducted applied research at the intersection of NLP, semantic web technologies, and knowledge graphs
Contributed to project acquisition, technical planning, teaching and supervision of junior researchers

Dec 2019 – Jul 2021

Research Associate Fraunhofer IAIS, Dresden

Engineered and integrated a task-oriented dialogue system into an operational software environment
Developed information extraction pipelines to structure and normalize information from heterogeneous text sources

Oct 2017 – Mar 2018

Intern Fraunhofer IPA, Stuttgart