Dzhoshkun Shakir
Bagnaria Arsa, Friuli – Venezia Giulia, Italy
Summary
🤩
Rockstar🎓
Top SchoolDzhoshkun Shakir is a software engineer with 11 years of experience focused on developing clinical-grade software at the intersection of medical imaging and computational science. He holds a PhD in Biomedical/Medical Engineering from TU München and an MSc in Computational Science and Engineering, bringing deep academic rigor to practical software delivery. Based in Friuli–Venezia Giulia, Italy, he combines multidisciplinary training with hands-on contributions to open-source medical imaging tooling, notably improving documentation and usability for the NiftyNet CNN platform. Dzhoshkun’s background spans computer engineering and computer science studies across Bilkent and TU Berlin, enabling him to bridge algorithmic research and production engineering. He is driven to translate complex biomedical problems into reliable, well-documented software that can advance healthcare delivery.
11 years of coding experience
Computer Science, Computer Science at Technische Universität BerlinMaster of Science (MSc), Computational Science and Engineering (CSE), CGPA 1.9 / 1.0 (passed with merit), Master of Science (MSc), Computational Science and Engineering (CSE), CGPA 1.9 / 1.0 (passed with merit) at Technische Universität MünchenBachelor of Science (BSc), Computer Engineering, CGPA 3.26 / 4.0 (B+), Bachelor of Science (BSc), Computer Engineering, CGPA 3.26 / 4.0 (B+) at Bilkent Üniversitesi / Bilkent University
Bulgarian, Spanish, Arabic, Turkish, German, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
sphinx10
documentation10
restructuredtext9
rs9
markdown-it9
markdown9
python5
Programming languages (6)
Github contributions (5)
NifTK/NiftyNet
Aug 2017 - Oct 2019
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Role in this project:
Technical Writer
Technical WriterContributions:6 releases, 98 commits, 16 PRs in 2 years 1 month
Contributions summary:Dzhoshkun primarily focused on improving the documentation for the NiftyNet project. Their commits involve adding, revising, and reorganizing documentation files, including module synopses, and revising links. They updated the `README.md` file to be displayed on the front page. Additionally, the user updated the `setup.py` script.
image-analysistherapymedical-imagedeep-learningconvolutional
gift-surg/endocal
Jul 2016 - Apr 2018
Contributions:1 release, 15 PRs, 86 pushes in 1 year 9 months
pythoncompactfluidguicalibration
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