Highly motivated Cybersecurity & AI Engineer with strong technical foundations in SOC operations, threat hunting, incident response, Python automation, ethical hacking, and AI-driven security tools.
Developed an advanced anomaly detection system capable of identifying potential network intrusions and malicious activities using custom trained machine learning models.
Created a highly efficient Python-based automation script designed to parse large volumes of system logs, extracting and flagging suspicious indicators of compromise (IoCs).
Designed and built a secure, virtualized sandbox environment to conduct vulnerability assessments, network penetration testing, and practice defensive security tactics.
Configured a full-scale SIEM dashboard simulation utilizing Splunk and IBM QRadar to monitor live traffic alerts, analyze events, and optimize incident response workflows.
Active participation and attendance in international cybersecurity and AI conferences spanning across USA, Canada, and Switzerland.
Intermediate (Pre-Medical) - Islamabad, Pakistan
English (Fluent), Urdu (Native)
Remote (USA), Hybrid, Contract, Full Time