Gayathre Jothi Kumar

Enhanced web browser protection using machine learning models. Designed and executed a blockchain-based, AI-enabled crypto-secured payments system for decentralized supply chains integrating AI models for demand forecasting, fraud detection, and route optimization. Developed a machine learning-based threat detection system to identify malicious URLs and phishing attempts in real-time, leveraging supervised learning algorithms and feature extraction techniques. Led penetration testing and cloud risk assessments across Azure and CrowdStrike environments, identifying over 50 security vulnerabilities and improving incident response time by 30%. Monitored 50+ real-time security events using CrowdStrike Falcon EDR and SIEM platforms, improving threat visibility and reducing mean time to resolution by 15%. Collaborated with DevSecOps and infrastructure teams to integrate security-by-design principles into the software development lifecycle, mitigating 50% of critical vulnerabilities prior to

Enhanced web browser protection using machine learning models. Designed and executed a blockchain-based, AI-enabled crypto-secured payment system for decentralized supply chains, integrating AI models for demand forecasting, fraud detection, and route optimization to enhance transparency and operational efficiency. Developed a machine learning-based threat detection system to identify malicious URLs and phishing attempts in real time using supervised learning algorithms and feature extraction techniques. Led penetration testing and cloud risk assessments across Azure and CrowdStrike environments, identifying over 50 security vulnerabilities and improving incident response time by 30% through prioritized remediation. Contributed to regulatory compliance initiatives by preparing audit-ready artifacts and evidence for HIPAA, PCI DSS, and ISO 27001 supporting internal and external audits. Monitored and triaged 50+ real-time security events using CrowdStrike Falcon EDR and SIEM platforms, i