fathi belmkadem

• Automated network security audits and traffic filtering tasks using Python reducing manual configuration time by 40% across 50+ enterprise firewall environments. • Engineered robust infrastructure security by deploying Fortinet, Juniper SRX, and Cisco WAF policies, resulting in a 25% reduction in unauthorized intrusion attempts for B2B clients. • Optimized B2B secure connectivity by architecting VPN infrastructures via MPLS and L2VPN ensuring 99.9% uptime for remote enterprise access.

• Architected an autonomous AI-driven penetration testing system using Reinforcement Learning and Deep Learning, achieving a 92% accuracy rate in identifying exploitable vulnerabilities. • Orchestrated automated security testing pipelines via Docker and GitLab CI/CD, accelerating the vulnerability assessment lifecycle by 50% across distributed network environments.

• Integrated the MITRE ATT&CK framework into a SOAR platform, improving threat response efficiency by 45% through automated mapping of adversary techniques to playbooks. • Automated OSquery data collection and parsing using Python and the ELK Stack, increasing visibility into system artifacts by 60% across hybrid cloud infrastructures. • Engineered 20+ custom detection rules for complex attack vectors, resulting in a 20% reduction in MTTR (Mean Time to Respond) during simulated security incidents.

• Implemented Scikit-learn based machine learning models within a Cuckoo Sandbox environment, enhancing evasive malware detection by 30% and identifying 15+ unknown threat signatures. • Scaled the analysis environment using Docker containers, allowing for 3x higher throughput of malware samples while maintaining strict network segmentation and isolation.

• Developed Deep Learning models for real-time network traffic surveillance, improving the identification of anomalous patterns and DDoS signatures by 25%. • Integrated ML-based traffic analysis tools into existing VPC Security Groups, providing real-time alerts and reducing incident identification time by 40%. • Modernized network defense protocols by formulating automated mitigation strategies based on traffic behavior analysis and historical threat data.