Dirk K.

I’m an AI engineer and researcher who spends an unreasonable amount of time teaching machines to see, read, and occasionally make sense of the world. I have 3+ years of hands-on experience developing explainable, data-efficient, and production-ready AI systems.

I’ve worked in leading research environments at Cambridge, Utrecht, and Konstanz, combining a research-driven mind set with real-world engineering in Python, PyTorch, TensorFlow, Ray, and Slurm. I’ve worked in leading research environments at Cambridge, Utrecht, and Konstanz, where I specialize in medical and biomedical data, building data-efficient deep learning pipelines for time-series analysis, and have also delivered projects in drone image analysis.

What sets me apart:

• Proven success bridging research and engineering — from concept to deployment

• Expertise in explainable AI and data-efficient learning for real-world reliability

• Fluent collaboration across scientific, engineering, and business teams

• Trilingual (English, German, Dutch) — ideal for EU-based, cross-national projects

Recent Highlights:

🔹 Developed an explainable multimodal medical foundation model at Cambridge

🔹 Co-authored a grant proposal on real-time neuroprosthetic AI frameworks (Utrecht)

🔹 Designed distributed training pipelines for large-scale healthcare data (Ray/Slurm)

I’m passionate about turning advanced AI research into scalable, interpretable systems that create measurable impact — from smarter vision systems to transparent decision models in healthcare, and I am looking to expand to domains outside of healthcare.