Arthur de Koos enhanced XLA operation semantics documentation across the Intel-tensorflow/tensorflow and openxla/xla repositories, focusing on clarity, consistency, and alignment with StableHLO specifications. Over two months, Arthur delivered four features that included comprehensive updates to HLO operator docs, new examples, and improved terminology for High Level Optimizer passes. Using Markdown and SVG, Arthur introduced visualizations and detailed explanations that reduced ambiguity for developers and streamlined onboarding. The work demonstrated depth in technical writing, compiler design, and data visualization, establishing a shared documentation standard that improved cross-repo consistency and enabled faster adoption of XLA optimization passes by external contributors.