Clément Aymard is a System Engineer with 11 years of experience building and operating large-scale, cloud-native platforms—most recently integrating api.video into OVHcloud after leading platform engineering at api.video where he managed 200+ servers, self-managed storage, Kubernetes, GitOps, Ansible and Terraform. He blends hands-on DevOps and SRE skills with backend systems experience from contributions to prominent open-source 3D computer-vision projects like AliceVision and openMVG, where he worked on descriptor integration and SIFT/RootSIFT improvements. Comfortable across datacenter and cloud environments (AWS, Terraform, CloudFormation) he focuses on observability, cost and performance optimization, and CI/CD automation. He has a strong research-to-production background from roles at IRIT and Airbus, shipping reliable pipelines for camera tracking and large infrastructure deployments. A former lead developer and student association president, he pairs technical depth with team leadership and process design. He’s equally likely to be refactoring descriptor loaders as scripting a Terraform rollout—often with coffee in hand.
11 years of coding experience
10 years of employment as a software developer
Physical Sciences, Physical Sciences at CPP - La Prépa des INP
Scientific Baccalaureate Mathematics Physics and Engineer Sciences, Scientific Baccalaureate Mathematics Physics and Engineer Sciences at Lycée Louis Aragon
Master's degree Research of Information Database and Multimedia, Master's degree Research of Information Database and Multimedia at ENSEEIHT
Contributions:188 commits, 10 PRs, 160 pushes in 11 months
Contributions summary:Clément primarily focused on adapting and modifying descriptor classes and functions for integration with the voctree library, specifically within the context of photogrammetric computer vision. They addressed access methods for descriptor values, adapted the Descriptor class for the voctree library, and replaced Eigen column matrices with Descriptor objects. Furthermore, the user integrated descriptor file loading functionality to support the creation of the voctree and refactored code related to descriptor loading. These changes likely involved improvements to the system's feature representation and matching capabilities.
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
Role in this project:
Back-end Developer
Contributions:5 commits, 1 PR, 1 comment in 2 days
Contributions summary:Clément contributed to the `openmvg/openmvg` library by adding and modifying features related to feature extraction and matching, crucial components in Structure from Motion and 3D reconstruction pipelines. They added functionality to use the OpenCV SIFT feature detector. The user also converted the SIFT descriptor to RootSIFT and addressed merge conflicts, maintaining and improving the library's functionality. They also modified the command line arguments of the `main_ComputeFeatures_OpenCV.cpp` to support SIFT.
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