• Building data pipelines, tools, or analysis workflows to process large-scale network and cache data. • Analyzing system behavior to identify performance, efficiency, and cost improvement opportunities. • Developing models, simulations, or algorithms to improve cache policies, traffic placement, or infrastructure allocation decisions. • Building prototypes using machine learning or AI techniques to automate tasks such as performance analysis, anomaly detection, or operational insights. • Presenting findings and recommendations that support capacity planning, sustainability (e.g., carbon-aware decisions), and cost optimization.