Cybersecurity Threat Detection Data Annotation Project
Worked on a cybersecurity-focused AI training project involving the annotation and classification of large datasets containing network traffic logs, phishing URLs, suspicious login attempts, and security event records. The primary goal of the project was to improve the accuracy of machine learning models used for intrusion detection, threat intelligence, and fraud prevention systems.