Worked on the MicrosoftDocs/architecture-center repository to enhance AI Foundry deployment documentation, focusing on cost-saving strategies for batch deployments. Delivered a targeted update that clarified resource optimization techniques, enabling engineering and operations teams to reduce operational costs and improve onboarding efficiency. Employed Markdown for technical writing, leveraging AI-assisted tooling and version control practices to ensure clarity and consistency across documentation. The work strengthened architectural documentation governance, reduced ambiguity around deployment patterns, and supported cross-team alignment on cost-efficient strategies. No bugs were addressed during this period, with efforts concentrated on delivering a single, impactful feature that improved cost transparency and deployment understanding.