🎓 Engineering Student in Computer Networks and Telecommunications
📍 Tunis, Tunisia
📧 [email protected]
📧 [email protected]
🔗 LinkedIn | GitHub
I am a passionate engineering student at the National Institute of Applied Sciences and Technology (INSAT), specializing in Computer Networks and Telecommunications. With hands-on experience in cybersecurity, machine learning, and networking, I aim to apply my skills in professional environments.
I have gained valuable experience from internships where I implemented Security Operations Centers (SOC), worked on network security solutions, and enhanced intrusion detection systems using machine learning. I am continuously learning and staying up to date with the latest industry trends, holding several certifications like CCNA, Azure Fundamentals, and ISC² Certified in Cybersecurity.
- Programming Languages: Python, Java, C, C++, JavaScript
- Data Science & Machine Learning: NumPy, Pandas, Scikit-learn, XGBoost, TensorFlow, PyTorch
- Networking: Cisco IOS, GNS3, Wireshark, pfSense, Suricata, Virtualization (VirtualBox, Docker)
- Cybersecurity: SOC, SIEM, IDS/IPS, Threat Intelligence, Incident Management
- Cloud & DevOps: Docker, Docker Compose, Azure
- Languages: Arabic (Native), English (C1), French (C1)
- CCNA - Cisco Certified Network Associate
- ISC² CC - Certified in Cybersecurity
- Microsoft Azure Fundamentals (AZ-900)
- Security, Compliance, and Identity Fundamentals (SC-900)
- AI-900 - Azure AI Fundamentals
- NSE3 - Fortinet Network Security Expert
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Cybersecurity Intern @ National Agency of Cybersecurity (June 2024 - Sept 2024)
- Designed and implemented a full Security Operations Center (SOC) using tools like Wazuh, pfSense, Suricata, and more.
- Set up and managed a secure virtualized environment with VirtualBox and Docker.
- Simulated cyberattacks to validate SOC resilience and documented network architecture with diagrams and descriptions.
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Cybersecurity Intern @ National Agency of Cybersecurity (July 2023 - Sept 2023)
- Enhanced Intrusion Detection capabilities using a Machine Learning model based on XGBoost.
- Implemented a user-friendly Python GUI to streamline security analyst workflows.
- Conducted simulated attacks using Metasploit and NMAP.
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Cybersecurity Intern @ ADACTIM (June 2024 - July 2024)
- Deployed Kaspersky Endpoint Security in a virtualized environment and performed penetration testing using Metasploit.
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Deepfake Audio Detection
- Developed a deep learning-based detection system using ResNet with self-attention mechanisms, achieving state-of-the-art performance on the ASVspoof2019 dataset.
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Real-time Monitoring and Classification of Network Traffic with ML
- Built a real-time network traffic classification system using GNS3, Wireshark, and XGBoost. Integrated results into a dashboard using Flask and Kibana.
- National Institute of Applied Sciences and Technology (INSAT)
- Engineering degree in Computer Networks and Telecommunications (2020 - 2025)
- Relevant Courses: Machine Learning, Cybersecurity, Networking
- Media Manager for the Artificial Intelligence National Summit (AINS) at the IEEE Computer Society Chapter in Tunis.
- Global Volunteer at AIESEC Cairo, contributing to web development for community support.