01 / Enterprise content migration
A cloud transition with room for coexistence.
22 TB / 34M documents
- Situation
- An on-premises enterprise content-management environment held approximately 22 TB and 34 million documents.
- Challenge
- Move a large, business-critical document estate to cloud infrastructure while supporting an incremental transition across teams.
- Approach
- Led and facilitated the migration and designed synchronization between legacy and cloud environments. Phased movement, reconciliation, and validation supported coexistence during the transition.
- Outcome
- Approximately 22 TB and 34 million documents transitioned to cloud infrastructure. Synchronization enabled teams to migrate incrementally while legacy and cloud systems coexisted.
03 / AI-assisted legacy modernization
Preserve business behavior. Prove the new path.
Legacy / Java / cloud
- Situation
- Legacy and mainframe modernization required an understanding of established business behavior and a path toward modern application platforms.
- Challenge
- Evaluate how analysis and transformation could be accelerated without treating generated code as evidence of correctness.
- Approach
- Combined legacy analysis, Java and cloud architecture, automated validation, and AI-assisted engineering. Used testing and engineering review to assess transformation work.
- Outcome
- Contributed hands-on engineering and technical leadership across legacy analysis, target architecture, and validation. This experience informs a pragmatic, evidence-led approach to AI-assisted modernization.
04 / Enterprise technical leadership
Technical direction that reaches the delivery process.
12 → 8 minute builds
- Situation
- Enterprise engineering work required both cross-team stewardship and attention to the details of implementation and delivery.
- Challenge
- Translate technical direction into improvements teams could use in their everyday work.
- Approach
- Served as an engineering manager and hands-on technical leader, conducted architecture and code reviews, and improved a software build pipeline.
- Outcome
- Reduced the build pipeline from approximately 12 minutes to 8 minutes—a 4-minute, roughly 33% reduction. Brought technical stewardship and review across many projects.
