Grega Rovšček
Electrical Engineer at MAHLE
Ljubljana, Slovenia
Summary
👤
Senior🎓
Top SchoolGrega Rovšček is an electrical engineer and master's student in computer science at the University of Ljubljana with a decade of hands-on experience bridging hardware and software in the automotive sector as an Electrical Engineer at MAHLE. He programs in Python, C, and C#, applies 3D design skills, and brings a multidisciplinary perspective shaped by strong academic performance in both electrical engineering and computer science. His practical backend contributions to the well-known HCPpipelines project improved fMRI volume processing flexibility and robustness, showing aptitude for scientific tooling and shell/FSL integration. At MAHLE he applies theory to real-world systems, honing problem-solving, cross-disciplinary communication, and product-focused engineering. Proactive and curious, he seeks roles where he can combine embedded and software expertise to deliver reliable, testable solutions.
10 years of coding experience
Master's degree, None, Master's degree, None at University of Ljubljana, Faculty of Computer and Information ScienceBachelor's degree, 8.5, Bachelor's degree, 8.5 at University of Ljubljana, Faculty of Electrical Engineering
Github Skills (11)
sh10
fs10
script10
shell10
scripting10
image-processing10
neuroimaging10
pipe9
pipeline9
pipelining9
diffusion-mri9
Programming languages (2)
Github contributions (5)
Washington-University/HCPpipelines
Jun 2019 - Jul 2020
Processing pipelines for the HCP
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 reviews, 239 commits, 29 PRs in 1 year
Contributions summary:Grega primarily focused on enhancing the fMRIVolume processing pipeline. Their contributions involved adding parameters and logic for slice timing correction, BOLD reference image usage, and the ability to specify no distortion correction method. The commits included changes to parameter handling, compliance checks, and code for handling cases where a T2w image is missing, reflecting a focus on improving the flexibility and robustness of the image processing pipeline. The changes involved the manipulation of shell scripts and the integration of FSL tools, indicating a focus on backend processing.
hcp-pipelinespipelinesshellhcp
mindbrainlab/HCPpipelines
Jun 2019 - Apr 2022
Contributions:1 PR, 208 pushes, 22 branches in 2 years 9 months
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