I am a cybersecurity professional and researcher with over seven years of experience in penetration testing, vulnerability assessments, application security, and enterprise information security. My work focuses on identifying and mitigating security risks across web, mobile, network, and enterprise applications through both manual and automated testing. I have hands-on experience with tools such as Burp Suite, Kali Linux, OWASP ZAP, AppScan, WebInspect, Nessus, Nmap, and Qualys, and I align my security assessments with industry standards including OWASP Top 10, NIST, ISO 27001, and secure SDLC practices. My professional interests include application penetration testing, threat modeling, secure code review, vulnerability management, cyber risk assessment, and regulatory compliance. I am especially interested in offensive security techniques that simulate real-world attack scenarios and help organizations strengthen their security posture through practical, actionable remediation strategies. My academic research interests are at the intersection of artificial intelligence and cybersecurity. I am interested in how AI can enhance cybersecurity training, automate security processes, improve threat detection, support secure banking and financial systems, and address emerging cyber threats such as ransomware, deepfakes, dark web activity, IoT vulnerabilities, and quantum-era cryptographic challenges. My publications reflect a strong focus on AI-driven cybersecurity, cyber ethics, machine learning, financial technology security, and emerging digital threats. I am also passionate about cybersecurity education, mentoring, and translating complex technical findings into clear guidance for both technical and non-technical audiences. Through my industry experience, academic research, and scholarly contributions, I aim to advance practical cybersecurity awareness, promote responsible use of emerging technologies, and contribute to building more secure and resilient digital systems.