Ananya Amancherla developed the initial integration of the VitisAI Execution Provider for the microsoft/onnxruntime-genai repository, focusing on enabling hardware-accelerated inference for Vitis AI-capable devices. Using C++ and leveraging expertise in API design and software architecture, Ananya implemented configuration options to register a custom operations library, allowing ONNX Runtime to utilize hardware-optimized inference paths. The work established a foundation for future hardware validation and continuous integration testing, directly supporting enterprise goals of reduced latency for GenAI workloads. Over the course of the month, Ananya’s contributions addressed performance and extensibility, though the scope was limited to feature development without bug fixes.