In January 2025, Melkileo contributed to the DataDog/documentation repository by developing comprehensive documentation for the new Suspected Cause feature in Datadog’s error tracking system. Using markdown and yaml, Melkileo created a dedicated page that explains how Suspected Cause enables engineers to filter and prioritize errors by surfacing initial hypotheses about root causes. The work included adding a new menu item, updating existing error-tracking content, and providing clear guidance on updating Suspected Cause labels. This documentation streamlines onboarding and accelerates triage by clarifying feature usage, ultimately reducing mean time to resolution for engineering teams. The work demonstrated strong technical writing skills.