Analyze client IT settings 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.