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Mang Guo

PROFILE

Mang Guo

Mang Guo contributed to the openvinotoolkit/openvino.genai and aobolensk/openvino repositories by building and stabilizing core inference features and addressing critical bugs. Over five months, Mang developed variable per-layer KV head support in the KV Cache, enabling models with non-fixed head counts and improving cache efficiency. He enhanced shape inference for conditional operations, fixed inner product failures for f16 weights, and enforced BF16 gamma saturation ranges to improve numerical stability. Using C++ and Python, Mang focused on CPU optimization, cache management, and code analysis, delivering targeted solutions that improved model reliability, runtime safety, and maintainability across OpenVINO’s inference pipeline.

Overall Statistics

Feature vs Bugs

20%Features

Repository Contributions

5Total
Bugs
4
Commits
5
Features
1
Lines of code
295
Activity Months5

Work History

August 2025

1 Commits

Aug 1, 2025

In August 2025, focused efforts on stabilizing the BF16 gamma path in the CPU backend for the openvino project. Implemented a targeted bug fix to enforce the valid gamma saturation range for BF16 in the powerStatic gamma operation and added test coverage to prevent regressions. The change reduces numerical issues (e.g., out-of-range gamma values) and improves predictability of results on BF16 workloads.

May 2025

1 Commits

May 1, 2025

May 2025 in repo aobolensk/openvino focused on stabilizing TransformIf behavior and addressing static analysis signals to improve runtime safety and maintainability. The changes reduce crash risk, clarify control flow, and enhance downstream reliability for CPU builds.

April 2025

1 Commits

Apr 1, 2025

April 2025 monthly summary for aobolensk/openvino focusing on stability and reliability improvements in the OneDNN inner product path. Delivered a targeted bug fix by updating OneDNN revision to address f16 weight precision with oc=1, reducing runtime failures and improving model inference reliability across common configurations. No new features released this month beyond stability fix.

January 2025

1 Commits

Jan 1, 2025

Month 2025-01 Monthly summary for aobolensk/openvino: Focused on stabilizing shape inference for conditional If operations, with a critical bug fix and enhancements to shape and type propagation. Delivered scalar-case handling to ensure static scalar outputs when both branches produce scalar results, enabling better optimization and reliability across downstream models.

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024 monthly summary for openvino.genai: Delivered the KV Cache feature that supports variable per-layer KV heads, enabling models with non-fixed head counts and improving cache efficiency. Implemented dynamic shape calculation and allocation to handle unfixed head counts across layers, with benchmark validation (e.g., decilm-7b-instruct).

Activity

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Quality Metrics

Correctness90.0%
Maintainability84.0%
Architecture78.0%
Performance72.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++Python

Technical Skills

Bug FixingC++C++ DevelopmentCPU OptimizationCache ManagementCode AnalysisConditional OperationsCore DevelopmentLLM InferenceModel OptimizationNumerical StabilityOpenVINOPerformance OptimizationPerformance TuningTesting

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

aobolensk/openvino

Jan 2025 Aug 2025
4 Months active

Languages Used

C++

Technical Skills

Conditional OperationsCore DevelopmentType PropagationC++Performance OptimizationBug Fixing

openvinotoolkit/openvino.genai

Dec 2024 Dec 2024
1 Month active

Languages Used

C++Python

Technical Skills

C++ DevelopmentCache ManagementLLM InferenceModel OptimizationPerformance Tuning

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