Worked on the pion/ice repository to optimize inbound ICE traffic handling by introducing a buffer pool strategy using Go’s sync.Pool. Focused on reducing memory allocations and garbage collection pressure in the data reception loop, this feature improved throughput and resource efficiency for high connection rates. The approach centered on reusing byte buffers for candidate inbound traffic, addressing concurrency and network programming challenges while enhancing performance. All changes were tracked with clear commit history to support maintainability and traceability. The work demonstrated depth in performance optimization and effective use of Go’s concurrency primitives to meet scalability and efficiency goals in networked systems.