Jenkins Pipeline Analysis & Kubernetes Deployment

I am seeking an expert in Jenkins pipeline report analysis, specifically focusing on build and test results reports. The top priority of this project is to utilize artificial intelligence for automatic analysis of these reports to identify patterns, trends, and areas of concern, as well as giving the user a summary of what happened if there was a failure and suggestions on how to solve the issues.

Additionally, I need assistance with integrating AI with Bitbucket for early code issues and integration issues analysis.

Finally, we want to do a proof of concept on using Kubernetes for automatic environment creation and deployment. This involves leveraging the right resources for the environment and tools included in the environment (like coding assistants if necessary) to ensure seamless deployment and operation.

Key Responsibilities:
- Analyzing Jenkins test results reports using AI
- Integrating AI with Bitbucket
- Setting up Kubernetes for automatic environment creation and deployment

Skills and Experience Required:
- Proven experience with Jenkins and Kubernetes
- Strong understanding of Bitbucket and AI integration
- Proficiency in analyzing Jenkins pipeline reports
- Experience with AI tools and resources for environment creation and deployment.

Any library or code used must be open-source to avoid paying additional licenses and have the freedom to customize it in the future.