MSc Cybersecurity & AI Research & Applied Projects
TextClassification
Researched and developed AI-assisted intrusion detection models using labeled security event data. Labeled and annotated cybersecurity log files for supervised machine learning and anomaly detection purposes. Evaluated the accuracy of AI models by segmenting security incidents and classifying types of network intrusions.
• Designed data labeling schema for intrusion detection systems
• Used Python scripts and SQL for data extraction and labeling
• Worked with cyber attack simulation datasets for model training
• Assessed model outcomes and contributed to AI tuning iterations.
Researched and developed AI-assisted intrusion detection models using labeled security event data. Labeled and annotated cybersecurity log files for supervised machine learning and anomaly detection purposes. Evaluated the accuracy of AI models by segmenting security incidents and classifying types of network intrusions. • Designed data labeling schema for intrusion detection systems • Used Python scripts and SQL for data extraction and labeling • Worked with cyber attack simulation datasets for model training • Assessed model outcomes and contributed to AI tuning iterations.
2024 - 2025