Chakali rakesh

• Own end-to-end monthly release cycles independently—from requirements gathering and sprint planning with
Microsoft stakeholders to final deployment sign-off—ensuring zero-defect production delivery and accelerating
deployment cycles by 25%.
• Build an intelligent AI agent that automatically interprets complex product configurations and writes provisioning scripts,
maximizing resource cost efficiency and reducing overall project costs by 40% with zero manual intervention.
• Developed robust C# backend logic utilizing object-oriented principles, collections, and dictionaries to securely validate,
parse, and handle data structures across high-volume cloud resource models.
• Integrate GitHub Copilot and generative AI tools within Visual Studio and LINQPad to perform structural code
analysis, automate boilerplate code, and conduct initial pull request reviews, reducing sprint delivery times by 35%.
• Developed custom C# automation scripts in LINQPad using AI-assisted engineering to handle end-to-end cloud
resource creation and data validations, slashing product configuration times by over 70% across Azure environments.
• Design and implement Power Automate workflows integrated with Azure Monitor logs to automate task tracking
inside Azure DevOps (ADO), auto-generate PR descriptions, and trigger alerts, cutting tracking overhead by 60%.
• Establish and manage SQL Server databases using SSMS to optimize complex queries and stored procedures, while
integrating backend data streams with Power BI dashboards to track multi-region migration KPIs.
• Manage source code using Git branching strategies within Azure Repos, utilize SonarQube for code analysis, and
document system workflows and UI guides using Markdown (.md) to maintain peak technical accuracy.