Exploring the intersection of cybersecurity and machine learning. Building security tools, investigating network threats, and exploring trustworthy AI systems.

I'm a fifth-year Cybersecurity Engineering student at the Higher School of Computer Science of Sidi Bel Abbès (ESI-SBA), Algeria, expecting to graduate in 2027.

My interests focus on practical cybersecurity engineering and data-driven approaches to identifying, understanding, and mitigating security threats.

I'm particularly interested in:

• Security Analytics & Machine Learning: Network intrusion detection, anomaly detection, and threat analysis.
• AI Security & Trustworthy AI: Adversarial evaluation, robustness, and security testing of AI systems.
• Application Security: Automated vulnerability discovery, web security assessment, and security tooling.
• LLM & Agent Security: Prompt injection, security evaluation, and emerging AI-system threats.
• Network & Infrastructure Security: Network defense, intrusion detection, monitoring, and system hardening.

Python scikit-learn Machine Learning Cybersecurity

An unsupervised learning project exploring anomaly detection in network flows.

• Synthetic NetFlow data generation.
• Clustering and anomaly detection.
• Isolation Forest, LOF, One-Class SVM, GMM, and autoencoder approaches.
• CIC-IDS2017 dataset pipeline.

Python Suricata Snort Security Analytics

Analysis and visualization of simulated intrusion detection alerts.

• Snort and Suricata alert analysis.
• Rule-based exploit-burst detection.
• Baseline evaluation and alert visualization.

Python scikit-learn Machine Learning

Machine learning experiments for network intrusion detection using the UNSW-NB15 dataset.

• Logistic Regression vs. Random Forest.
• Binary attack detection.
• Multiclass attack classification.

Python PyTorch Deep Learning

Experiments with denoising autoencoders, comparing reconstruction losses under synthetic image noise.

System Security Administrator Intern — Hope Technology

July – September 2026

• Assessed LAN and DMZ security configurations.
• Worked with Sophos firewalls, OPNsense, and XCP-ng virtualization.
• Tuned Suricata intrusion detection rules.
• Worked on HAProxy TLS configuration and VPN access.
• Contributed to security documentation and infrastructure improvement proposals.

Web Developer Intern — Cybears

July – September 2025

• Developed web application features using Next.js and Tailwind CSS.
• Worked with Django REST Framework, PostgreSQL, and Docker.
• Contributed to frontend performance improvements, achieving a 20% improvement in Largest Contentful Paint (LCP).

Virelia

Co-leading the development of a modular Python-based web security scanner, covering reconnaissance, technology fingerprinting, WAF detection, OWASP-oriented security testing, and extensible plugins.

Programming & Machine Learning

Cybersecurity & Security Monitoring

Infrastructure & Networking

Software Development

I'm interested in 2027 end-of-studies internships (PFE), research internships, and selected freelance opportunities in:

• Cybersecurity and security engineering.
• Security analytics and machine learning.
• AI security and trustworthy AI.
• Automated security assessment and vulnerability research.

I'm always interested in connecting with researchers, engineers, and people working on meaningful security challenges.