fiddler-labs/fiddler-examples
Mar 2025 – Feb 2026
5 Months active
Languages Used
Jupyter NotebookMarkdownPythonJSON
Technical Skills
API IntegrationCode RefactoringData AnalysisData VisualizationDocumentationError Handling
Jennifer Flynn
PROFILE
Jennifer Flynn
Jenn contributed to the fiddler-labs/fiddler-examples repository by developing and enhancing AI evaluation workflows, focusing on LLM-based judgment, safety guardrails, and onboarding efficiency. She implemented notebook-driven solutions using Python and Jupyter Notebooks, introducing prompt engineering techniques and robust error handling to improve classification accuracy and user experience. Jenn refactored code for clarity, added explicit credential management for LLM integrations, and upgraded dependencies to support richer platform features. Her work emphasized maintainability through improved documentation, code formatting, and modular design, resulting in more reliable, configurable evaluation pipelines that reduce onboarding time and support scalable, secure AI experimentation.
Overall Statistics
Feature vs Bugs
91%Features
Repository Contributions
21Total
Bugs
1
Commits
21
Features
10
Lines of code
3,796
Activity Months5
Your Network
32 peopleShared Repositories
16
Work History
February 2026
2 Commits • 2 Features
Feb 1, 2026Month 2026-02 — Two high-impact feature deliveries in fiddler-examples drive improved classification quality and richer platform enrichments, with clean, traceable changes.
2 Commits • 2 Features
Feb 1, 2026Month 2026-02 — Two high-impact feature deliveries in fiddler-examples drive improved classification quality and richer platform enrichments, with clean, traceable changes.
February 2026
November 2025
6 Commits • 4 Features
Nov 1, 2025November 2025 delivered key enhancements to Fiddler’s evaluation workflow in fiddler-examples, focusing on credentials, configurability, documentation clarity, and code quality. Implemented explicit LLM credentials support in the Evaluations SDK, refined evaluator initialization to require explicit model/credential parameters, updated docs to reflect sentiment analysis focus, and performed code/notebook formatting improvements to raise readability and maintainability. These changes reduce misconfiguration risk, improve security posture for credentials, and provide a solid foundation for scalable evaluation across LLM providers.
November 2025
6 Commits • 4 Features
Nov 1, 2025November 2025 delivered key enhancements to Fiddler’s evaluation workflow in fiddler-examples, focusing on credentials, configurability, documentation clarity, and code quality. Implemented explicit LLM credentials support in the Evaluations SDK, refined evaluator initialization to require explicit model/credential parameters, updated docs to reflect sentiment analysis focus, and performed code/notebook formatting improvements to raise readability and maintainability. These changes reduce misconfiguration risk, improve security posture for credentials, and provide a solid foundation for scalable evaluation across LLM providers.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for fiddler-labs/fiddler-examples: Delivered a roleplaying label for safety guardrails in the Fiddler Quickstart notebook and improved toxicity categorization. Changes include code cleanup for readability and consistency, and separating roleplaying from other toxicity categories to enhance metrics accuracy. Implemented in commit bf59f9cd0990adbcac23624ffc404cdaa3035297 with message 'add roleplaying label and cleanup'.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for fiddler-labs/fiddler-examples: Delivered a roleplaying label for safety guardrails in the Fiddler Quickstart notebook and improved toxicity categorization. Changes include code cleanup for readability and consistency, and separating roleplaying from other toxicity categories to enhance metrics accuracy. Implemented in commit bf59f9cd0990adbcac23624ffc404cdaa3035297 with message 'add roleplaying label and cleanup'.
October 2025
July 2025
7 Commits • 2 Features
Jul 1, 2025During 2025-07, shipped enhancements to Fiddler examples that strengthen LLM-based judgment workflows and streamline onboarding for new users. Delivered notebook-based enhancements for Fiddler LLM-as-a-Judge, including prompt specification workflows, example usage, and readability improvements, enabling faster evaluation cycles. Extended Quickstart notebooks with dataset reduction for faster onboarding, added a download-after-publish workflow, and updated LLM Prompt Spec notebook with prompts and data handling guidance. Fixed a Quickstart documentation label typo and clarified re-running guidance, reducing support overhead. Overall, these efforts improve evaluation accuracy, onboarding speed, and developer experience, aligning with business goals of faster time-to-value.
July 2025
7 Commits • 2 Features
Jul 1, 2025During 2025-07, shipped enhancements to Fiddler examples that strengthen LLM-based judgment workflows and streamline onboarding for new users. Delivered notebook-based enhancements for Fiddler LLM-as-a-Judge, including prompt specification workflows, example usage, and readability improvements, enabling faster evaluation cycles. Extended Quickstart notebooks with dataset reduction for faster onboarding, added a download-after-publish workflow, and updated LLM Prompt Spec notebook with prompts and data handling guidance. Fixed a Quickstart documentation label typo and clarified re-running guidance, reducing support overhead. Overall, these efforts improve evaluation accuracy, onboarding speed, and developer experience, aligning with business goals of faster time-to-value.
March 2025
5 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for fiddler-labs/fiddler-examples focusing on business value and technical achievements. Delivered enhancements to the Faithfulness Guardrails Notebook suite to accelerate experimentation and onboarding for the Guardrails Free Trial, improved stability, and clarified documentation across notebooks.
5 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for fiddler-labs/fiddler-examples focusing on business value and technical achievements. Delivered enhancements to the Faithfulness Guardrails Notebook suite to accelerate experimentation and onboarding for the Guardrails Free Trial, improved stability, and clarified documentation across notebooks.
March 2025
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Quality Metrics
Correctness91.4%
Maintainability90.4%
Architecture87.6%
Performance85.8%
AI Usage39.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPython
Technical Skills
AI DevelopmentAI IntegrationAI ObservabilityAI evaluationAPI IntegrationAPI integrationCode RefactoringData AnalysisData EngineeringData SamplingData ScienceData VisualizationDocumentationError HandlingFiddler Platform
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline