Jon Durbin contributed backend and API development expertise to the kvcache-ai/sglang and manifold-inc/targon repositories over a two-month period. He delivered an API enhancement for sglang that exposes the maximum model context length, updating the data model and API surface to improve client integration and capacity planning. Using Python, he ensured correctness with targeted tests and maintained code quality. In targon, Jon addressed a critical edge case in chat prompt handling by updating chat template verification, preventing prompt leakage and improving reliability in the generation pipeline. His work demonstrated depth in model serving, backend reliability, and robust API design.