Overview

As a Principal Cyber Security Cloud Engineer, I bring over 10 years of expertise in Cybersecurity, Hybrid Cloud, and Artificial Intelligence. Throughout my career, I have led the development of scalable, secure, and AI-powered cloud architectures that enhance enterprise security, performance, and compliance. With extensive experience in AWS, Azure, and Google Cloud, I have designed and implemented robust cybersecurity frameworks, hybrid cloud solutions, and AI-driven security measures that protect mission-critical applications and sensitive data.

My work spans end-to-end cloud architecture, AI-driven analytics, microservices, API security, and large-scale data migrations, ensuring compliance with industry standards and optimizing enterprise resilience against evolving cyber threats. Additionally, my contributions to predictive analytics, natural language processing (NLP), and machine learning workflows have strengthened organizations’ ability to proactively mitigate security risks and enhance decision-making.

Spearheaded the development of AI-based intrusion detection and prevention systems, enhancing cloud security posture and real-time threat mitigation. Engineered AI-driven predictive analytics to identify and neutralize vulnerabilities before exploitation, significantly reducing security incidents. Integrated machine learning models into cybersecurity workflows, improving fraud detection and anomaly recognition in cloud environments.

I actively collaborate with business stakeholders, product owners, and security teams to align cybersecurity strategies with organizational objectives. I am committed to mentoring teams, enforcing security best practices, and driving digital transformation initiatives that enable scalable, intelligent, and resilient cloud ecosystems.