Dimitris Rozakis
Senior Principal Software Engineer at Dell Technologies
Athens, Attica, Greece
Summary
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RockstarDimitris Rozakis is a Senior Principal Software Engineer based in Athens with 12 years of experience building high-performance back-end systems, CI/CD pipelines, and scientific libraries. He combines enterprise-scale engineering at Dell with startup product and technical leadership from co-founding Advantis Medical Imaging, where he translated medical imaging research into production software. Dimitris is an active open-source contributor — improving performance-critical code in DIPY’s medical-imaging library and hardening Graphite’s time-series rendering logic — and has hands-on DevOps experience automating multicloud deployments for mist.io. He is comfortable across the stack from vectorized numerical algorithms to deployment scripts, and has a knack for simplifying complex code paths while improving test coverage and operational robustness.
12 years of coding experience
9 years of employment as a software developer
English, Greek
Github Skills (31)
kubernetes10
docker10
python10
scripting10
testing10
graphite10
time-series10
dockers10
cicd10
numpy10
script10
diffusion-mri10
kubernetes-pods10
sh10
medical-imaging10
Programming languages (10)
Github contributions (5)
mistio/mist-ce
Sep 2013 - Dec 2022
Mist is an open source, multicloud management platform
Role in this project:
DevOps Engineer
DevOps EngineerContributions:977 commits, 63 PRs, 158 pushes in 9 years 4 months
Contributions summary:Dimitris primarily contributed to the CI/CD pipeline and deployment processes within the repository. Their work involved modifying and creating shell scripts, specifically focusing on deployment, submodule handling, and test environment setup, including modifications to deployment scripts to use SHA-based image deployments and integrating with DNS services. The user also updated the `update-pipelines.sh` script for integrating external CI jobs.
pythonmisthypervisorscloud-managementaws
dipy/dipy
Oct 2015 - Nov 2015
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Role in this project:Back-end Developer
Back-end DeveloperContributions:25 commits, 4 PRs, 26 comments in 1 month
Contributions summary:Dimitris made significant contributions to the `dipy/dipy` repository, which focuses on medical imaging in Python. They primarily focused on optimizing and extending existing functionality within the library, including the development of vectorized pseudo-inverse and eigenvalue calculation methods. Furthermore, the user improved code efficiency by vectorizing existing functions and refactoring code to utilize the newest version of NumPy. These changes improved the speed and functionality of core functions within the library, enhancing its performance.
signalpythonmicrostructurespatialtractography
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