Ismail Baris

Managing Director at Technical University of Munich

Munich, Bavaria, Germany
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Summary

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Senior
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Top School
Ismail Baris is a Managing Director and research-oriented software engineer with 10+ years of experience building physics-driven simulation and remote sensing tools. Based in Munich, he blends advanced C++ and Python engineering with 3D modeling and OptiX7 ray tracing to tackle complex physical and graphical problems. At DLR and as a PhD candidate at TUM he has developed integrated microwave and optical scattering models and applied quantitative finance techniques to rigorous modeling and risk analysis. He contributes to open-source projects such as pyroSAR, improving large-scale SAR satellite data processing back-ends and utilities. Comfortable bridging research and product, he designs web-based GIS tools in React to make sophisticated scientific workflows accessible. Colleagues value his rare mix of deep physics intuition, practical software craftsmanship, and multidisciplinary collaboration skills.
code10 years of coding experience
job3 years of employment as a software developer
bookMaster of Science - MS, Geoinformatics, Master of Science - MS, Geoinformatics at Friedrich Schiller University Jena
bookBachelor of Science - BS, Ecosystemmanagement, Bachelor of Science - BS, Ecosystemmanagement at The University of Göttingen
languagesGerman, English, Turkish, Spanish
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Github Skills (8)

sar10
python10
web-framework9
earth-observation8
raid8
rad8
numpy7
gdal7

Programming languages (9)

TypeScriptJavaC++CSSCMakeJupyter NotebookPythonFortran

Github contributions (5)

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johntruckenbrodt/pyroSAR

Nov 2017 - Nov 2018

framework for large-scale SAR satellite data processing
Role in this project:
userBack-end Developer
Contributions:153 commits, 6 PRs, 1 push in 11 months
Contributions summary:Ismail primarily contributed to the development of the `pyrosar` framework, focusing on adding and improving core functionalities. Their work included the creation of common functions, the removal of relative paths for better readability, and the implementation of a `.to_array` routine for converting binary files. These changes indicate a focus on improving the framework's utility for large-scale SAR satellite data processing and enhancing the overall code quality.
pythonsarradarinsardata-processing
ibaris/rasterpy

Mar 2018 - Jun 2018

Contributions:1 release, 71 commits, 33 pushes in 2 months
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Ismail Baris - Managing Director at Technical University of Munich