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Andy Li

PROFILE

Andy Li

Developed advanced evaluation and streaming features across two repositories, focusing on robust backend and data science workflows. For aws-samples/amazon-nova-samples, delivered Tau-Bench evaluation notebooks supporting multi-domain language model benchmarking, integrating Python, Jupyter Notebooks, and AWS SageMaker to enable configurable, reproducible model assessments. In UKGovernmentBEIS/inspect_ai, enhanced the SageMaker streaming handler to accurately capture reasoning tokens from thinking-mode models, implementing multi-byte character support, incremental UTF-8 decoding, and comprehensive unit testing. These contributions improved the reliability and accuracy of streamed model responses and token usage metrics, demonstrating depth in API development, backend engineering, and scalable machine learning infrastructure.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
2
Lines of code
4,071
Activity Months2

Work History

June 2026

1 Commits • 1 Features

Jun 1, 2026

June 2026 monthly summary for UKGovernmentBEIS/inspect_ai: Delivered enhancements to the SageMaker streaming handler to capture reasoning tokens from thinking-mode models, improving reliability and accuracy of streamed responses with multi-byte support, robust parsing, and comprehensive testing. The changes enable complete reasoning content to be reconstructed and accurately counted for usage metrics, delivering measurable business value and a foundation for deeper model insights.

May 2026

2 Commits • 1 Features

May 1, 2026

May 2026 monthly summary for aws-samples/amazon-nova-samples: Implemented Tau-Bench agentic evaluation notebooks supporting local and SageMaker-based evaluation, with multi-domain support (airline, retail, telecom) and configurable sample and message limits. Documentation and workflow automation enhancements completed to streamline end-to-end model evaluation and improve reproducibility. No major bug fixes documented this month; emphasis on feature delivery and workflow stabilization.

Activity

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Quality Metrics

Correctness93.4%
Maintainability80.0%
Architecture86.6%
Performance80.0%
AI Usage66.6%

Skills & Technologies

Programming Languages

Python

Technical Skills

API developmentAWSData ScienceJupyter NotebooksMachine LearningPythonSageMakerbackend developmentunit testing

Repositories Contributed To

2 repos

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

aws-samples/amazon-nova-samples

May 2026 May 2026
1 Month active

Languages Used

Python

Technical Skills

AWSData ScienceJupyter NotebooksMachine LearningPythonSageMaker

UKGovernmentBEIS/inspect_ai

Jun 2026 Jun 2026
1 Month active

Languages Used

Python

Technical Skills

API developmentbackend developmentunit testing