Innovative AI & Cybersecurity Researcher with 5+ years of applied research experience in machine learning, predictive analytics, and national-infrastructure cybersecurity solutions. Demonstrated success in publishing 15+ peer-reviewed research papers, including IEEE-indexed and Q1 journals, contributing to advancements in threat detection, sustainable AI systems, and intelligent automation. Proven ability to design and deploy AI-powered models that enhance fraud detection accuracy (up to 94%), reduce cyber-incident response time (55%), and optimize resource efficiency across enterprise-level systems. Holds a UK-granted patent in data-driven technology innovation and actively collaborates with cross-disciplinary teams to solve high-impact challenges aligned with U.S. national cybersecurity and economic priorities. Dedicated to expanding AI applications that protect critical infrastructure, reduce financial crime, and strengthen data-driven national decision-making.