Machine Learning Engineer and Research Software Engineer with experience in developing custom multi-modal (text-tual and image) agentic frameworks.

Extensive scientific experience in Physics, Nanoscience, Vacuum technology, etc.

Computing profile
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Proficient in Python, PyTorch, and in other programming languages (C++, VB.NET, ...), with a strong background in deep learning and 2D/3D data segmentation and in developing scientific open-source applications.

Recent Pyhton development highlights:
- Redlionfish - a napari plugin for deconvolving volumetric data (Pyhton, (py)OpenCL). Available in PyPi, napri-hub and anaconda forge.
- Okapi-EM - a napari plugin with a collection of data processing tools for serial-FIB-SEM data.
- LeopardGecko - Unet training, predictions and tools for volumetric data. (Pytorch, unets., ..)
- napari-h5, a read/write napari plugin for hdf5 files