Responsibilities include:

• Spearhead research on intrusion detection techniques using machine learning
• Develop and implement LLM fine-tuning methods for malicious activity detection
• Lead a team of security researchers

• Developed a Shodan Security plugin for IoT CVE tracking
• Designed and implemented KPI metrics for automation utilizing Telegraf, Influx, and Grafana
• Implemented CI/CD pipelines for automated testing and deployment of security toolsMigrated infrastructure to a new data center

Responsibilities included:

• Directed the Cybersecurity X Lab, focusing on IoT security, adversarial data analytics, and machine learning for intrusion detection
• Developed behavioral models for IoT intrusion detection and created quantitative metrics for IoT security evaluation
• Implemented a forecasting Markov model for predicting adversarial behavior
• Integrated IDS (Snort) with SDN controllers to enhance DDoS attack detection and prevention
• Applied machine learning algorithms to improve intrusion detection accuracy by up to 88%