Anna Zhdan worked on the JetBrains/koog repository, focusing on enhancing performance and user experience in LLM interactions. She implemented a caching mechanism for Large Language Models using Kotlin, which increased throughput and reduced latency during conversational tasks. To address memory management and improve usability, Anna refined session history handling by trimming trailing tool call messages, effectively minimizing clutter and lowering memory usage. Her work demonstrated a solid grasp of software architecture and AI development principles, delivering a targeted feature that addressed both efficiency and user interface concerns. The depth of her contribution was concentrated but technically well-executed within the project scope.