rungalileo/sdk-examples
Aug 2025 – Aug 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationCLI DevelopmentCode CleanupCode FormattingData AnalysisData Quality
Atindriyo Sanyal
PROFILE
Atindriyo Sanyal
Atin developed a reusable LLM Benchmarking Experiment Framework for the rungalileo/sdk-examples repository, enabling end-to-end comparison of GPT and Claude models on financial data quality tasks. The framework included dataset generation, experiment orchestration, and prompt engineering, with enhancements to the ExperimentCompareTwoModels component for clearer experimentation workflows. Atin used Python and focused on scripting, data analysis, and LLM integration to support reproducible benchmarking and faster iteration. The work also involved targeted code cleanup, refactoring, and removal of obsolete test artifacts, which streamlined the CI process and reduced maintenance overhead, resulting in a more robust and maintainable experimentation environment.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
1
Lines of code
794
Activity Months1
Your Network
29 people
Work History
August 2025
6 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for rungalileo/sdk-examples: Delivered a reusable LLM Benchmarking Experiment Framework to compare GPT vs Claude on financial data quality tasks, including dataset generation, experiment orchestration, and prompts; improved ExperimentCompareTwoModels component and dataset experiment tooling. Performed targeted test and code quality improvements and removed obsolete test artifacts to streamline CI. The work enables end-to-end, reproducible benchmarking with faster iteration and clearer data quality insights.
6 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for rungalileo/sdk-examples: Delivered a reusable LLM Benchmarking Experiment Framework to compare GPT vs Claude on financial data quality tasks, including dataset generation, experiment orchestration, and prompts; improved ExperimentCompareTwoModels component and dataset experiment tooling. Performed targeted test and code quality improvements and removed obsolete test artifacts to streamline CI. The work enables end-to-end, reproducible benchmarking with faster iteration and clearer data quality insights.
August 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability88.4%
Architecture81.6%
Performance78.4%
AI Usage30.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationCLI DevelopmentCode CleanupCode FormattingData AnalysisData QualityEnvironment Variable ManagementExperimentationExperimentation FrameworksLLM IntegrationPrompt EngineeringPythonPython DevelopmentPython ScriptingRefactoring
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