Analyze client IT environments to identify opportunities for enhanced efficiency using AI-powered DevSecOps tools and methodologies across traditional and cloud-native platforms.

• Prepare gap analysis and design a roadmap for AI-integrated DevOps automation, covering CI/CD/CT pipelines from requirements to deployment.

• Architect intelligent DevSecOps tooling infrastructure, defining interfaces and integrations with platforms like GitHub, GitLab, Azure DevOps, and AI-enhanced developer tools.

• Mentor DevOps engineers in leveraging Generative AI tools such as GitHub Copilot, GitLab Duo, and Microsoft 365 Copilot to accelerate development, testing, and deployment workflows.

• Apply Prompt Engineering techniques to optimize interactions with LLMs and improve automation, code generation, and documentation.

• Research and evaluate emerging technologies in AI/ML, MLOps, and Generative AI, contributing to solution development and innovation.