Navyadha contributed to the aws-neuron/aws-neuron-sdk repository by developing the vLLM Online Inference Bucketing Guide, a new section in the vLLM user guide. This documentation, written in reStructuredText (rst), detailed how users can specify context and token buckets to optimize online inference workloads. Navyadha explained the configuration of the OpenAI-compatible server using override_neuron_config, enabling users to tune bucketing parameters for prefill and decode operations. The work focused on enhancing the clarity and utility of the AWS Neuron SDK documentation, providing actionable guidance for performance tuning and predictable latency, and demonstrated strong skills in technical writing and documentation.