Vincent Debergue is a Senior Backend Engineer based in Paris with 12 years of experience building scalable backend systems and machine learning-enabled services. He has shipped production services across startups and large enterprises, including deep learning and DevOps work at Samsung’s AI Labs and platform engineering at StrangeBee and Adaptive ML. A pragmatic polyglot, he has worked with Scala, Python, Kubernetes and CI/CD tooling and contributed backend fixes and MISP integration features to the widely used open-source incident response platform TheHive. Vincent combines hands-on implementation of core system behaviors (serialization, observable handling, alert-to-case flows) with a background in web and IoT platforms, making him adept at stabilizing complex distributed systems. Colleague-friendly and detail-oriented, he often focuses on subtle correctness issues—test fixes and edge-case handling—that improve reliability at scale.
12 years of coding experience
13 years of employment as a software developer
M2 Developpement Logiciel, Interface Hommes Machines, M2 Developpement Logiciel, Interface Hommes Machines at Ecole nationale supérieure des Télécommunications
Contributions:16 reviews, 5 commits, 2 PRs in 9 months
Contributions summary:Vincent primarily contributed to the Python API client for TheHive. Their work focused on enhancing the `alert` endpoint functionality, including creating, retrieving, and promoting alerts to cases. They implemented features such as attaching observables to alerts and adding parameters for promoting alerts. The user also refactored code, renaming parameters and improving file handling within the API client.
TheHive is a Collaborative Case Management Platform, now distributed as a commercial version
Role in this project:
Back-end Developer
Contributions:1 review, 19 commits, 17 PRs in 1 year 1 month
Contributions summary:Vincent's contributions primarily focused on enhancing the functionality and stability of the TheHive platform. They implemented features related to MISP integration, including adding options for filtering attributes and fixing alert import issues. Furthermore, the user addressed issues related to case templates, ensured proper case number generation, and improved observable handling within the system. They also fixed several failing tests and addressed serialization issues to ensure the correct behavior of core system components.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.