Aram contributed a performance-focused update to the tobi/try repository, targeting the terminal UI to deliver faster and more resilient interactive sessions. He implemented memoized terminal dimension caching and integrated SIGWINCH-based cache refresh to handle dynamic terminal resizing, addressing critical UI bottlenecks. Using Ruby, Aram optimized fuzzy search by precomputing lowercased strings and preloading query data with integer indexing, which reduced per-keystroke allocations and improved speed by approximately 33 percent. His work emphasized performance optimization and signal handling, resulting in a roughly 1000x speedup for frequent UI refreshes and enhancing both the responsiveness and maintainability of the codebase.