AI Security Research Platform
AI-driven behavioral analysis system for defensive cybersecurity research. Uses LLM for real-time system interaction analysis and automated threat classification with MITRE ATT&CK mapping.
Cybersecurity Researcher & Developer
OSCP Candidate · Bug Bounty Hunter · AI Security Research
Computer Science student at Université de Caen Normandie with a strong focus on offensive and defensive cybersecurity. Currently preparing for the OSCP certification through OffSec's PWK labs.
Active bug bounty hunter on HackerOne and YesWeHack, invited to private programs of major French groups across insurance, energy, finance, healthcare, and defense sectors. Notable findings include XSS vulnerabilities at Groupe Les Mousquetaires and session manipulation flaws at fintech companies.
Working as an RLHF expert at Outlier, fine-tuning Large Language Models for improved alignment and robustness. Passionate about the intersection of AI and cybersecurity.
AI-driven behavioral analysis system for defensive cybersecurity research. Uses LLM for real-time system interaction analysis and automated threat classification with MITRE ATT&CK mapping.
Automated security testing framework with multi-model AI integration. Combines vulnerability scanning, exploit research, and intelligent payload generation in a unified pipeline.
Training environment for security research. Modules include shellcode/BOF development, automated reconnaissance playbooks, credential parsing (DPAPI), and evasion mechanisms with AES/XOR encryption.
Active on HackerOne & YesWeHack. Invited to private programs of major groups (insurance, energy, finance, healthcare, defense). Notable findings: XSS at Groupe Les Mousquetaires, session manipulation at fintech companies.