In February 2026, Mokarchi developed foundational dependency injection and per-client configuration for the openai/openai-dotnet repository. Using C# and modern software architecture principles, Mokarchi introduced IServiceCollection extension methods and dedicated settings classes, enabling scalable, structured client setups aligned with System.ClientModel patterns from the .NET and Azure SDKs. This approach reduced integration boilerplate and standardized configuration flows, making it easier for applications to adopt and maintain the OpenAI .NET library. The work focused on feature delivery and design alignment rather than bug fixes, demonstrating depth in API development, dependency injection, and maintainable configuration modeling within a collaborative engineering environment.