Worked on distributed agent orchestration and middleware optimization across langchain-ai/deepagentsjs and langchain-ai/langchainjs repositories. Addressed concurrency issues by enforcing a shared filesystem state schema, which reduced race conditions and improved reliability during parallel agent updates. Delivered a feature that optimized middleware emissions, preventing unnecessary state updates when hooks returned void, thereby enhancing performance and clarity in state management. Utilized TypeScript for both concurrency handling and middleware architecture, demonstrating skills in debugging distributed systems, schema design, and collaborative refactoring. The work focused on stability, correctness, and performance, resulting in more predictable multi-agent behavior and streamlined state management workflows.