WBÀ propos de Walid
Cybersecurity engineer, graduate of ESI Algiers and Sorbonne University, passionate about offensive security and AppSec. I am involved in daily technology monitoring (Zataz, CVE.org, CERT-FR) and actively participates in the cyber ecosystem: local OWASP conferences, CTFs in France and internationally, and following the ANSSI MOOC on the fundamentals of cybersecurity.
My areas of interest cover both offensive cybersecurity (Pentest, Red Teaming, Vulnerability Research) and defensive cybersecurity (SOC, Threat Hunting, Incident Response). I also enjoy contributing to cybersecurity-related development projects, creating solutions that have a real impact. Today, I am looking for a stimulating permanent position where I can put my skills to work protecting critical systems and applications.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- FAYAT IT Massy,Cybersecurity Engineer Internmars 2025 - septembre 2025 (6 mois)Ile-of-France, FranceDesign and implementation of a SOC (Log collection and validation, definition of use cases and playbooks, attack simulation and refinement) SOC Analysis (N2/N3) and Incident Management in collaboration with OCD as MSSP (N1) Audit Framework Monitoring and Response (Pentest/Red Team) Conducting attack simulations (light Pentest) Vulnerability Management Anti-spam/email protection management Cybersecurity training for users
- Escape Paris,Apprentice Pentester and R&D Engineerseptembre 2024 - janvier 2025 (4 mois)Ile-of-France, FranceEscape is a vulnerability scanning platform for web APIs (AppSec) As a Penetration Tester: Conducting Pentests on client APIs for vulnerability scanner feedback. As R&D Engineer: Design and implementation of functionalities related to vulnerability scanners (client and server).
- EFREI Research Lab villlejuif,Cybersecurity Research Intern - PFEseptembre 2023 - septembre 2024 (1 an)Ile-of-France, FranceImplementation of a Vulnerability Detection and Verification Approach for smart contracts (Blockchain) based on Deep Learning/Deep Reinforcement Learning.
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Formations
- Network and Security MastersSorbonne Université (Paris2025Network and Security Masters
- State Engineer/Masters inÉcole Nationale Supérieure d'Informatique ESI2024State Engineer/Masters in