PhD Researcher - Universitatsklinikum Erlangen
Developing AI models for virtual contrast enhancement in breast MRI while building toward scalable Kubernetes-based ML workflows.
Medical Deep Learning Researcher | Kubernetes / MLOps
Aju George
PhD Researcher and Kubernetes application developer at Universitatsklinikum Erlangen, with a Medical Engineering background from FAU Erlangen-Nurnberg.
I work on virtual contrast enhancement in breast MRI, medical image data workflows, and scalable systems for reliable AI research.
Experience
Research depth with platform instincts.
Student Assistant - Medical Image Data Systems
Automated XNAT image data workflows, maintained metadata extraction for REDCap, tested research code, and built a 3D Slicer plugin.
CT / MRI Field Service Engineering
Installed, maintained, and troubleshot CT and MRI systems across Philips, Cyrix Healthcare, and GE Healthcare channel partner roles.
Research Fellowship - IIT Madras
Worked on deep learning for biomedical applications, including a machine learning GUI for cardiovascular risk prediction.
Skills
The tools I bring into the room.
Deep Learning
Medical Imaging
Kubernetes
XNAT / REDCap Workflows
Testing Practices
CT / MRI Systems