Question 1

What types of AI projects do you work on?

Accepted Answer

Computer Vision and imaging systems, including hyperspectral and medical whole-slide pipelines, LLM and RAG applications with evaluation pipelines, and reproducible scientific software for data-intensive problems. Engagements range from prototypes to productization and technical consulting.

Question 2

Do you work remotely?

Accepted Answer

Yes. I work remote-first from Münster, Germany, with occasional on-site workshops or kick-offs across Europe.

Question 3

Can you develop Computer Vision systems?

Accepted Answer

Yes. I have built image-analysis pipelines covering calibration, preprocessing, segmentation, representation learning, and deep-learning classification for scientific and medical data, including hyperspectral imaging and whole-slide image processing.

Question 4

Can you help with LLM and RAG applications?

Accepted Answer

Yes. I design grounded LLM workflows with embeddings, semantic similarity, prompt engineering, and RAG, and I build repeated evaluation pipelines that measure them against established baselines.

Question 5

Do you collaborate with research teams?

Accepted Answer

Yes. I am an active researcher with peer-reviewed publications in IEEE TVCG, Computer Graphics Forum, and IEEE CG&A, and I have worked in interdisciplinary teams across computer science and medicine.

Question 6

How do you approach AI consulting projects?

Accepted Answer

I start with the problem and the data, test the hardest assumption early, and give an honest feasibility assessment. Development is hypothesis-driven with evaluation built in, and results are handed over as tested, maintainable software.

Question 7

Are you available for new projects?

Accepted Answer

Yes, for selected projects from Q4 2026. For larger engagements it helps to reach out early.