rungalileo/galileo-python
Jun 2025 – Oct 2025
5 Months active
Languages Used
PythonTypeScript
Technical Skills
API DevelopmentBackend DevelopmentTestingAPI Client DevelopmentAPI IntegrationPython
Shriya Edukulla
PROFILE
Shriya Edukulla
Shriya developed core backend and API features for the rungalileo/galileo-python repository, focusing on prompt template management, experiment tagging, and resource governance. She implemented centralized CRUD operations for global prompt templates and introduced experiment tag management, enabling better organization and discoverability. Using Python and TypeScript, Shriya refactored API endpoints for consistency, added upsert logic for experiment tags, and enforced dataset limits to improve reliability and prevent resource overuse. Her work emphasized robust unit testing and clear client integration, resulting in maintainable, well-tested code that streamlined onboarding, enhanced traceability, and supported dynamic data rendering across applications on the Galileo platform.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
4
Lines of code
4,247
Activity Months5
Your Network
37 people
Work History
October 2025
2 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for rungalileo/galileo-python: Delivered two core features to improve experiment governance and resource control, with comprehensive test coverage and alignment to business value. Key outcomes include: 1) Experiment Tagging for Run Experiments: Added an experiment_tags parameter with upsert logic to tag runs with key-value pairs, enabling better organization and traceability; includes tests verifying correct tagging. Commits: c4e97c9d2b6c6822f3ac8f8df4f7936573800171. 2) Dataset Limit Control for Run Experiments: Introduced dataset_limit parameter (default 100,000 rows) to cap dataset processing; added test fixture dataset_content_150_rows and tests to ensure the limit is respected when not explicitly provided. Commit: f771853fe9a0822d36ed56e168c52818598eab58. These changes improve auditability, prevent resource overuse, and increase reliability of experiment runs. Technologies demonstrated: Python, unit/integration testing, parameterization, upsert logic, and test fixtures.
2 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for rungalileo/galileo-python: Delivered two core features to improve experiment governance and resource control, with comprehensive test coverage and alignment to business value. Key outcomes include: 1) Experiment Tagging for Run Experiments: Added an experiment_tags parameter with upsert logic to tag runs with key-value pairs, enabling better organization and traceability; includes tests verifying correct tagging. Commits: c4e97c9d2b6c6822f3ac8f8df4f7936573800171. 2) Dataset Limit Control for Run Experiments: Introduced dataset_limit parameter (default 100,000 rows) to cap dataset processing; added test fixture dataset_content_150_rows and tests to ensure the limit is respected when not explicitly provided. Commit: f771853fe9a0822d36ed56e168c52818598eab58. These changes improve auditability, prevent resource overuse, and increase reliability of experiment runs. Technologies demonstrated: Python, unit/integration testing, parameterization, upsert logic, and test fixtures.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary: Delivered the Experiment Tag Management System for the Galileo Python client, including CRUD API endpoints and corresponding Python client methods to create, retrieve, update, and delete experiment tags. Implemented comprehensive unit tests to ensure reliability and regression safety. No major bugs reported this month. Business impact includes improved tagging workflows, enhanced data discoverability and analytics, and tighter API coverage. Technologies demonstrated: Python, REST API design, test automation, and client library design.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary: Delivered the Experiment Tag Management System for the Galileo Python client, including CRUD API endpoints and corresponding Python client methods to create, retrieve, update, and delete experiment tags. Implemented comprehensive unit tests to ensure reliability and regression safety. No major bugs reported this month. Business impact includes improved tagging workflows, enhanced data discoverability and analytics, and tighter API coverage. Technologies demonstrated: Python, REST API design, test automation, and client library design.
August 2025
1 Commits
Aug 1, 2025Monthly summary for 2025-08: Focused on API consistency and test coverage improvements for prompt retrieval in the galileo-python project. Refactored get_prompt to return a full PromptTemplate object (removing the version parameter), updated tests to validate retrieval of the entire template including the selected version, and linked the change to the commit fixing the return type. This work enhances API reliability, reduces ambiguity around PromptTemplateVersion handling, and sets the stage for simpler version management.
1 Commits
Aug 1, 2025Monthly summary for 2025-08: Focused on API consistency and test coverage improvements for prompt retrieval in the galileo-python project. Refactored get_prompt to return a full PromptTemplate object (removing the version parameter), updated tests to validate retrieval of the entire template including the selected version, and linked the change to the commit fixing the return type. This work enhances API reliability, reduces ambiguity around PromptTemplateVersion handling, and sets the stage for simpler version management.
August 2025
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 (2025-07) – Focused delivery on Global Prompt Templates Management for rungalileo/galileo-python. Key feature: centralized global prompt templates with CRUD operations and rendering, enabling shared prompt configurations and dynamic data rendering across applications. This work reduces duplication, accelerates onboarding for new apps, and improves consistency of prompts across the platform. No critical bugs were reported this month; proactive monitoring established. Technologies demonstrated: Python library development, REST client integration, template rendering, and API-driven UX improvements.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 (2025-07) – Focused delivery on Global Prompt Templates Management for rungalileo/galileo-python. Key feature: centralized global prompt templates with CRUD operations and rendering, enabling shared prompt configurations and dynamic data rendering across applications. This work reduces duplication, accelerates onboarding for new apps, and improves consistency of prompts across the platform. No critical bugs were reported this month; proactive monitoring established. Technologies demonstrated: Python library development, REST client integration, template rendering, and API-driven UX improvements.
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for rungalileo/galileo-python: Focused on strengthening the prompt template handling to improve reliability and developer experience.
1 Commits
Jun 1, 2025June 2025 monthly summary for rungalileo/galileo-python: Focused on strengthening the prompt template handling to improve reliability and developer experience.
June 2025
Activity
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Quality Metrics
Correctness97.6%
Maintainability97.6%
Architecture92.6%
Performance87.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTypeScript
Technical Skills
API Client DevelopmentAPI DevelopmentAPI IntegrationBackend DevelopmentFull Stack DevelopmentPythonRefactoringTestingTypeScriptUnit Testing
Repositories Contributed To
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