Frédéric Baguelin
Security Researcher at Datadog
France
Summary
🤩
Rockstar🎓
Top SchoolFrédéric Baguelin is a security researcher with 11 years of experience specializing in memory-focused DFIR across Windows, GNU/Linux and macOS and hands-on C, C++ and Python development. He has moved between incident response roles at Société Générale and leadership positions—co-founding ArxSys and leading DFIR at digital.security—before joining Datadog to blend research with product-scale security. His open-source contributions include backend work on Fast Incident Response and the FAME malware analysis framework, adding two-factor auth, API endpoints, scheduling and improved file handling that reflect both operational and developer sensibilities. Frédéric also teaches and builds tooling for forensic acquisition and analysis (including Android-focused training), showing a rare mix of practitioner, educator and maintainer. He’s based in France and known for turning low-level forensic expertise into practical, production-ready security tooling.
11 years of coding experience
8 years of employment as a software developer
EpitechEPITA: Ecole d'Ingénieurs en Informatique
Github Skills (28)
application-framework10
apidoc10
infosec10
python10
django10
app-framework10
api10
malware10
web-framework10
incident-response10
anti-malware10
rest-framework9
docker8
mongodb8
two-factor-authentication8
Programming languages (12)
Github contributions (5)
certsocietegenerale/FIR
Jan 2018 - Jul 2021
Fast Incident Response
Role in this project:
Backend Developer
Backend DeveloperContributions:1 release, 23 commits, 9 PRs in 3 years 6 months
Contributions summary:Frédéric primarily worked on updating the codebase to be compatible with Django 1.11, modifying models, forms, and views. They implemented two-factor authentication using the django-two-factor-auth app, integrating Google Authenticator and Yubikey. The user also added API endpoints for filtering incidents, retrieving business lines, and managing attributes and labels, enhancing the project's API functionality. Furthermore, they made improvements to the Docker configuration and python compatibility for the project.
nlppythonincident-managementincident-responserisk-assessment
certsocietegenerale/fame
Mar 2019 - May 2020
FAME Automates Malware Evaluation
Role in this project:Back-end Developer & Security Engineer
Back-end Developer & Security EngineerContributions:9 commits, 7 pushes, 4 comments in 1 year 1 month
Contributions summary:Frédéric made several contributions focused on enhancing the functionality and security of the FAME malware analysis framework. They addressed issues related to Werkzeug version compatibility and implemented features like customizable module scheduling for extracted files. Furthermore, the user fixed merge conflicts, improved file handling, and added email notification capabilities for comments, demonstrating a focus on code quality and user experience within the context of malware analysis. Their work involved modifying core file processing, web interface components, and configuration files, indicating a comprehensive understanding of the system.
incident-responseautomatesevaluationframeworkinfosec
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