Worked within the R&D CTO Office on the Demo Platform team, contributing to the platform that supports demonstration capabilities for IFS Cloud. My work covered release engineering, DevOps automation, cloud platform delivery, developer productivity and AI-assisted engineering tools.
- Coordinated end-to-end delivery for two major enterprise releases and multiple monthly releases across 10+ engineering teams and multiple cloud environments, covering release planning, deployment, validation, post-release verification and production support.
- Designed an automated documentation delivery platform using Azure Static Web Apps, MkDocs and CI/CD. Added webhook-driven builds, isolated preview environments, password-protected non-production access and automated credential rotation, reducing deployment time from roughly four hours to under three minutes.
- Improved release quality by strengthening deployment pipelines, increasing unit-test coverage with SonarQube, remediating security vulnerabilities and reinforcing code-quality standards.
- Performed root-cause analysis across cloud infrastructure, CI/CD pipelines and enterprise applications, then implemented longer-term fixes to improve reliability and operational resilience.
- Built an AI-powered engineering assistant with Microsoft Copilot Studio using 100+ internal knowledge pages, contributing to a fivefold increase in documentation usage and faster access to technical information.
- Contributed to solution design and technical decision-making by evaluating implementation options, managing technical risks and balancing scalability, security and maintainability.
- Supported junior engineers through code reviews, knowledge sharing and technical guidance, and used GitHub Copilot and Cursor for implementation, debugging, refactoring, test generation and documentation.


