openvinotoolkit/openvino.genai
Oct 2024 – Oct 2025
10 Months active
Languages Used
C++XMLPythonYAML
Technical Skills
C++C++ DevelopmentModel OptimizationOpenVINOPipeline DevelopmentSpeech Recognition
Ekaterina Shiryaeva
PROFILE
Ekaterina Shiryaeva
Ekaterina Shiriaeva developed and optimized advanced speech recognition pipelines in the openvinotoolkit/openvino.genai repository, focusing on the Whisper model. She engineered static and stateful inference workflows, integrating C++ and Python to enhance model reshaping, attention mask handling, and NPU compatibility. Her work included refactoring decoder input logic, implementing performance instrumentation, and ensuring compatibility with evolving transformer libraries. By addressing FP8 model support, cross-attention stability, and robust CI testing, Ekaterina improved both reliability and throughput for multilingual and hardware-accelerated deployments. Her contributions demonstrated deep expertise in model optimization, OpenVINO integration, and the practical deployment of transformer-based generative AI systems.
Overall Statistics
Feature vs Bugs
55%Features
Repository Contributions
14Total
Bugs
5
Commits
14
Features
6
Lines of code
1,997
Activity Months10
Your Network
2051 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 performance snapshot for openvinotoolkit/openvino.genai: Delivered Whisper Model Pipeline Enhancements for NPU and Transformer Compatibility. Enabled WhisperStatefulImpl for NPU, fixed compatibility with transformer versions 4.53.3 and 4.55, introduced new configurations and logic to optimize NPU performance, and improved pipeline robustness and efficiency. This work reduces integration risk for downstream Whisper workloads and enables smoother deployments on updated transformer stacks. Technologies demonstrated include NPU-optimized stateful pipelines, OpenVINO GenAI integration, and transformer-version compatibility tuning.
1 Commits • 1 Features
Oct 1, 2025October 2025 performance snapshot for openvinotoolkit/openvino.genai: Delivered Whisper Model Pipeline Enhancements for NPU and Transformer Compatibility. Enabled WhisperStatefulImpl for NPU, fixed compatibility with transformer versions 4.53.3 and 4.55, introduced new configurations and logic to optimize NPU performance, and improved pipeline robustness and efficiency. This work reduces integration risk for downstream Whisper workloads and enables smoother deployments on updated transformer stacks. Technologies demonstrated include NPU-optimized stateful pipelines, OpenVINO GenAI integration, and transformer-version compatibility tuning.
October 2025
September 2025
1 Commits
Sep 1, 2025Concise monthly summary for Sep 2025 focusing on business value and technical achievements. Delivered a critical bug fix and robustness improvements for attention mask handling in the Whisper pipeline within the openvino.genai repository. Implemented a new matcher pass AttentionMaskInput_2 and refined the existing AttentionMaskInput pass to support varying input sizes/types for ScaledDotProductAttention, tied to a targeted commit.
September 2025
1 Commits
Sep 1, 2025Concise monthly summary for Sep 2025 focusing on business value and technical achievements. Delivered a critical bug fix and robustness improvements for attention mask handling in the Whisper pipeline within the openvino.genai repository. Implemented a new matcher pass AttentionMaskInput_2 and refined the existing AttentionMaskInput pass to support varying input sizes/types for ScaledDotProductAttention, tied to a targeted commit.
August 2025
1 Commits
Aug 1, 2025August 2025 performance summary for openvino.genai: Focused on reliability and correctness in the Whisper FP8 cross-attention path. No new features were shipped this month; a critical bug fix improved runtime state handling and ScaledDotProductAttention (SDPA) interactions for FP8 Whisper models, enhancing stability and correctness in production deployments. The change addressed an extra FakeConvert node in the f8e4m3 path that could mis-expose runtime states, ensuring proper processing of key/value tensors even with additional conversion nodes. This reduces risk of incorrect results and supports more robust FP8 deployment in OpenVINO GenAI.
1 Commits
Aug 1, 2025August 2025 performance summary for openvino.genai: Focused on reliability and correctness in the Whisper FP8 cross-attention path. No new features were shipped this month; a critical bug fix improved runtime state handling and ScaledDotProductAttention (SDPA) interactions for FP8 Whisper models, enhancing stability and correctness in production deployments. The change addressed an extra FakeConvert node in the f8e4m3 path that could mis-expose runtime states, ensuring proper processing of key/value tensors even with additional conversion nodes. This reduces risk of incorrect results and supports more robust FP8 deployment in OpenVINO GenAI.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for openvinotoolkit/openvino.genai: Focused on delivering performance enhancements and architecture improvements for Whisper-based decoding integration. Key work centered on introducing an attention mask for the decoder to support variable-length sequences and on refactoring the decoder cache to directly leverage compiled models, streamlining the OpenVINO GenAI pipeline.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for openvinotoolkit/openvino.genai: Focused on delivering performance enhancements and architecture improvements for Whisper-based decoding integration. Key work centered on introducing an attention mask for the decoder to support variable-length sequences and on refactoring the decoder cache to directly leverage compiled models, streamlining the OpenVINO GenAI pipeline.
May 2025
1 Commits
May 1, 2025May 2025 monthly summary for the openvinotoolkit/openvino.genai work, focusing on key accomplishments and business impact. Primary effort this month was a critical bug fix for FP8 model compatibility in the Whisper static pipeline, restoring correct operation and enabling FP8-based inference workflows.
1 Commits
May 1, 2025May 2025 monthly summary for the openvinotoolkit/openvino.genai work, focusing on key accomplishments and business impact. Primary effort this month was a critical bug fix for FP8 model compatibility in the Whisper static pipeline, restoring correct operation and enabling FP8-based inference workflows.
May 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 Monthly Summary for openvino.genai: Whisper Inference Enhancements with Dual-Model Support and Sampler-based Token Generation. Delivered dual-model Whisper support by updating the decoder and KV cache handling, exposing cache states for stateful inference, removing the cache_position input, and integrating StatefulToStateless. Refactored StaticWhisperPipeline to integrate a Sampler for token generation, improving sampling parameter handling, RNG usage, and introducing new logits processing and decoding functions to use the Sampler for flexible and correct token generation. This work is tracked by commits 50c45f0a2cfefad1c7dfe85a0532abbe97525855 and 83f2eb0f149f9dfae031efdb64c7afa74c321b9b. The changes enhance capability and flexibility for Whisper-based deployments in openvino.genai, enabling richer voice-enabled experiences and streamlined experimentation with sampling strategies.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 Monthly Summary for openvino.genai: Whisper Inference Enhancements with Dual-Model Support and Sampler-based Token Generation. Delivered dual-model Whisper support by updating the decoder and KV cache handling, exposing cache states for stateful inference, removing the cache_position input, and integrating StatefulToStateless. Refactored StaticWhisperPipeline to integrate a Sampler for token generation, improving sampling parameter handling, RNG usage, and introducing new logits processing and decoding functions to use the Sampler for flexible and correct token generation. This work is tracked by commits 50c45f0a2cfefad1c7dfe85a0532abbe97525855 and 83f2eb0f149f9dfae031efdb64c7afa74c321b9b. The changes enhance capability and flexibility for Whisper-based deployments in openvino.genai, enabling richer voice-enabled experiences and streamlined experimentation with sampling strategies.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Delivered performance optimization and broad test coverage for Whisper Static Pipeline in openvino.genai. Implemented decoder input handling refactor (set_decoder_input_ids instead of set_decoder_input_ids_attention_mask) and introduced a DecoderCache to tailor decoder models to input sequence length, yielding improved efficiency and correctness. Added comprehensive tests for the Whisper static pipeline and extended CI to validate across configurations and languages, with output comparisons against CPU-based execution. These changes enhance inference speed, reliability, and maintainability across multilingual configurations.
2 Commits • 1 Features
Jan 1, 2025January 2025: Delivered performance optimization and broad test coverage for Whisper Static Pipeline in openvino.genai. Implemented decoder input handling refactor (set_decoder_input_ids instead of set_decoder_input_ids_attention_mask) and introduced a DecoderCache to tailor decoder models to input sequence length, yielding improved efficiency and correctness. Added comprehensive tests for the Whisper static pipeline and extended CI to validate across configurations and languages, with output comparisons against CPU-based execution. These changes enhance inference speed, reliability, and maintainability across multilingual configurations.
January 2025
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 performance and stability summary for the openvino.genai repository. Key outcomes focus on reliability, observability, and data-driven optimization for Whisper-based pipelines.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 performance and stability summary for the openvino.genai repository. Key outcomes focus on reliability, observability, and data-driven optimization for Whisper-based pipelines.
November 2024
1 Commits
Nov 1, 2024November 2024: Delivered a stability-focused fix to the Whisper pipeline in openvino.genai by correcting hidden state size inference in StaticWhisperPipeline. The change derives encoder output dimensions for decoder models, preventing runtime errors during sequence processing and improving overall reliability of Whisper-based workloads. This work aligns with ongoing quality improvements for openvinotoolkit/openvino.genai (#1179) and reduces churn in downstream ASR pipelines, enabling more consistent throughput.
1 Commits
Nov 1, 2024November 2024: Delivered a stability-focused fix to the Whisper pipeline in openvino.genai by correcting hidden state size inference in StaticWhisperPipeline. The change derives encoder output dimensions for decoder models, preventing runtime errors during sequence processing and improving overall reliability of Whisper-based workloads. This work aligns with ongoing quality improvements for openvinotoolkit/openvino.genai (#1179) and reduces churn in downstream ASR pipelines, enabling more consistent throughput.
November 2024
October 2024
2 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — OpenVINO GenAI Whisper pipeline delivered with static optimization and corrected attention mask handling in the openvinotoolkit/openvino.genai repository. The work focused on static model reshaping, input shape alignment, and encoder/decoder element type configuration to improve hardware compatibility and static execution. A dedicated fix to the attention mask setting was completed and debug logs were removed to reduce noise and improve reliability. This set of changes enhances deployment readiness for ASR workloads and strengthens the pipeline’s robustness across target backends.
October 2024
2 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — OpenVINO GenAI Whisper pipeline delivered with static optimization and corrected attention mask handling in the openvinotoolkit/openvino.genai repository. The work focused on static model reshaping, input shape alignment, and encoder/decoder element type configuration to improve hardware compatibility and static execution. A dedicated fix to the attention mask setting was completed and debug logs were removed to reduce noise and improve reliability. This set of changes enhances deployment readiness for ASR workloads and strengthens the pipeline’s robustness across target backends.
Activity
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Quality Metrics
Correctness91.4%
Maintainability81.4%
Architecture85.0%
Performance77.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++PythonXMLYAML
Technical Skills
C++C++ DevelopmentCI/CDCode RefactoringGenerative AIMachine LearningModel CompilationModel OptimizationModel ReshapingModel TransformationNPUNPU OptimizationOpenVINOPerformance OptimizationPerformance Tuning
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