Yassine Ouali
PS SENIOR CONSULTANT at Summit Systems
Greater Paris Metropolitan Region France
Summary
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Rockstar🎓
Top SchoolYassine Ouali is a PS Senior Consultant based in Greater Paris with seven years of experience at the intersection of software engineering and machine learning. Currently pursuing a PhD in ML, he brings research-grade rigor to practical projects, notably improving inference, multi-scale prediction, and loss implementation in a PyTorch semantic segmentation repository. At Summit Systems he combines consultancy skills with hands-on ML engineering to deploy robust models and optimize data pipelines. Known for correcting and optimizing critical components like dice loss, he focuses on reliable, production-ready model behavior rather than just experimental results. This blend of academic depth and pragmatic delivery makes him effective at translating complex ML concepts into tangible business value.
7 years of coding experience
Ecole nationale supérieure des Télécommunications
Github Skills (7)
semantic-segmentation10
computer-vision10
pytorch10
deep-learning10
inference10
python10
machine-learning9
Programming languages (6)
Github contributions (5)
yassouali/pytorch-segmentation
Jul 2019 - Feb 2022
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 57 commits, 13 PRs in 2 years 7 months
Contributions summary:Yassine made significant contributions to the project's inference capabilities. They implemented prediction functionalities and incorporated multi-scale prediction strategies. The user's code changes also involved modifying data loading, image preprocessing, and model configuration for improved inference performance. Furthermore, the user corrected and optimized the implementation of dice loss for semantic segmentation tasks.
pytorchsemantic-segmentationcomputer-visiondeep-learning
yassouali/ml-blog
Sep 2019 - Jun 2022
Contributions:156 commits, 93 pushes, 2 branches in 2 years 9 months
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