Riadh Feddini
Software Craftsman at GettingApp
Paris, Ile-de-France
Summary
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Top SchoolRiadh Feddini is a Software Craftsman based in Paris with 11 years of experience building maintainable, testable systems and mentoring teams in DDD and TDD practices. Currently at GettingApp, he focuses on scalable, high-quality delivery and instills craftsmanship principles across the development lifecycle. He has hands-on QA automation experience from Oney, where he built and integrated mobile test pipelines, bridging developer and QA workflows. An active contributor to scikit-image, Riadh has optimized core image transform and filter algorithms—adding features like float32 support and implementing optical flow and distance metrics—showing a blend of applied algorithmic insight and production engineering.
11 years of coding experience
IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de TunisEcole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT
Stackoverflow
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Github Skills (6)
algorithm10
computer-vision10
algorithms10
python10
image-processing10
numpy10
Programming languages (7)
Github contributions (5)
scikit-image/scikit-image
Jun 2019 - Sep 2022
Image processing in Python
Role in this project:
Backend Developer
Backend DeveloperContributions:506 reviews, 146 commits, 218 PRs in 3 years 2 months
Contributions summary:Riadh's commits primarily involve modifying and adding to the `skimage.transform` and `skimage.filters` modules, which are central to image processing tasks. Their work includes the implementation and optimization of various image transformation algorithms such as the iLK optical flow algorithm, and the addition of features like support for float32 data type and Minkowski distance metrics. These changes directly improve the core functionalities of the image processing library.
image-processingpythoncomputer-visionimage
rfezzani/pyimof
Apr 2019 - Aug 2019
Python package for optical flow estimation
Contributions:2 reviews, 26 commits, 53 pushes in 3 months
pythonoptical-flowestimationimage-processingoptical
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