Rôles occupés
Back-end
Miscellaneous
Network/Telecom
Systems
• Built and deployed a 5G NAS signaling anomaly detection system, achieving 98% detection accuracy on a live EU 5G testbed.
• Tested and mitigated 5G protocol vulnerabilities via replay and fuzzing, leveraging anomaly detection to block suspicious signaling.
• Engineered high-scale telecom signaling datasets and pipelines, supporting 25 experiments and improving reproducibility and processing
speed.
• Automated security workflows with Python, supporting continuous testing and monitoring of 5G network security.
• Executed FGSM & PGD adversarial attacks on 3 ML models (VGG, ResNet, GoogLeNet) using PyTorch, achieving 90% attack success.
• Reduced model accuracy by 35% under adversarial attacks, exposing critical robustness weaknesses.
• Automated attack execution and KPI collection for reproducible testing, tracking accuracy, loss, and success rate.
• Identified and communicated AI security risks to project leads and stakeholders, contributing to model robustness safeguards.
Monitored logs from 80+ endpoints using SIEM (Splunk, ELK), triaging up to 12 critical events daily.
• Developed 5 custom SIEM dashboards and 10 analytical queries, improving alert visibility and reducing manual triage time.
• Escalated confirmed security threats to Level 2 analysts, supporting timely incident response.
• Enhanced SOC efficiency by aligning workflows with ISO 27001 and SOC2 and improving proactive threat detection and intelligence.
MSc in Cybersecurity.
MSc in Cybersecurity.
BSc in Computer Science.