Hybrid NIDS — Intrusion detection
Hybrid network intrusion-detection system pairing ML (Random Forest, XGBoost, LSTM) with Snort 3 signatures, integrated into a real-time dashboard.
Hi, I'm
Computer & Network Engineer
Scroll ↓// about me
Computer & Network engineering student at Polytech Dijon, passionate about cybersecurity, artificial intelligence and cloud computing.
Currently interning at King Mongkut's University of Technology Thonburi (Bangkok, Thailand), where I'm building a hybrid network intrusion-detection system (NIDS) pairing ML with Snort 3 signatures.
Dynamic, rigorous and adaptable — I'm looking to put my technical skills to work for an innovative company.
// skills
// technologies
// projects
Hybrid network intrusion-detection system pairing ML (Random Forest, XGBoost, LSTM) with Snort 3 signatures, integrated into a real-time dashboard.
Self-managing network system built on MAPE-K and Self-CHOP mechanisms (self-healing, self-optimisation), with AI/ML for anomaly detection.
Study and configuration of Wazuh to detect and block threats on a target machine.
Python web app (queue-based computation with RabbitMQ), containerised with Kubernetes and deployed via Terraform on the cloud.
Python API to filter suspicious URLs and flag fraudulent websites.
Python web app with MySQL database, Bootstrap UI, authentication and book reservation.
// background
King Mongkut's University of Technology Thonburi
Bangkok, Thailand
Built a hybrid NIDS combining ML anomaly detection (Random Forest, XGBoost, LSTM) and Snort 3 signatures, integrated into a real-time dashboard.
Complétude
Dijon, France
Teaching scientific subjects with personalised student follow-up.
Polytech Dijon
Dijon, France
Cisco Networking Academy
Dijon, France
Institut Universitaire de la Côte
Douala, Cameroon
// contact me
An opportunity, a project, or just want to chat? My inbox is open.
Looking for a work-study contract starting September 2026.