Eugene Savin enhanced the OnlineRecognizer API in the k2-fsa/sherpa-onnx repository by exposing the ysProbs array through JNI, Kotlin, and Java interfaces. This addition allowed client applications to access detailed probabilistic recognition results, supporting improved debugging, analytics, and integration with downstream machine learning pipelines. Eugene’s work required careful cross-language API design, ensuring compatibility between C++, Java, and Kotlin while maintaining a stable and versioned feature rollout. By thoughtfully exposing internal data structures, Eugene improved observability and post-processing capabilities for clients. The depth of this feature reflects a strong understanding of multi-language interoperability and robust API surface design principles.