Alex Matskevych
Data Engineer
Heidelberg, Baden-Württemberg, Germany
Summary
🤩
Rockstar🎓
Top SchoolAlex Matskevych is a Data Engineer based in Heidelberg with nine years of experience building ML-driven data products and production pipelines across research labs and industry. He transitioned from academic work in cell & biophysics and semantic segmentation at EMBL and Heidelberg University into applied machine learning roles at Bosch and appose, where he progressed from working student to Lead Data Scientist. His recent roles include a stint as a Software Engineer at Mercedes-Benz Tech Innovation and a current Data Engineer position at TRUUCO, reflecting a blend of research rigor and production engineering. Alex is comfortable across the ML lifecycle—from domain adaptation and segmentation research to deploying scalable data systems for automotive and biotech use cases. He brings a hands-on approach to complex data problems and a track record of turning academic insights into ship‑ready solutions. An understated strength is his continuity across teams and roles, showing rapid learning and steady technical leadership in interdisciplinary environments.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Physik, Master of Science - MS Physik at Heidelberg University
English, German, Russian, French
Github Skills (12)
dice-coefficient8
siggraph8
semantic-segmentation6
semantic5
segmentation5
pytorch5
deep-learning4
python-bindings4
python4
zstandard3
compression3
zstd3
Programming languages (3)
Github contributions (5)
Axeleik/skeleton_to_graph
Jun 2017 - Mar 2018
Contributions:36 pushes, 1 branch in 8 months
alexmatskevych/pytorch-3dunet-shallow2deep
Jan 2022 - Nov 2022
3D U-Net model for volumetric semantic segmentation written in pytorch
Contributions:3 pushes, 1 branch in 9 months
pytorchsemantic-segmentationdeep-learningvolumetricu-net
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