google/langfun
Nov 2024 – Sep 2025
2 Months active
Languages Used
Python
Technical Skills
Code RefactoringNumerical PrecisionBackend DevelopmentError HandlingNetwork Programming
Chengrun Yang
PROFILE
Chengrun Yang
Worked on the google/langfun repository, focusing on backend development and code quality improvements using Python. Delivered a feature that enhanced scoring metrics precision by updating the scoring module to display percentages and average scores with three significant figures, utilizing locale-aware string formatting for consistent evaluation reporting. Additionally, addressed a reliability issue by implementing robust error handling for REST language model calls, classifying 'Connection reset by peer' as a transient error and integrating automatic retries to improve network resilience. Demonstrated skills in numerical precision, error handling, and network programming, contributing targeted changes that improved both reporting accuracy and service reliability.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
18
Activity Months2
Your Network
4712 peopleSame Organization
@google.com4703
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Work History
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary for google/langfun: Implemented robust transient error handling for REST language model calls, introducing automatic retries when encountering transient network failures to improve external service reliability and uptime.
1 Commits
Sep 1, 2025September 2025 monthly summary for google/langfun: Implemented robust transient error handling for REST language model calls, introducing automatic retries when encountering transient network failures to improve external service reliability and uptime.
September 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for google/langfun: Key feature delivered was Scoring Metrics Precision Enhancement, increasing precision to three significant figures for percentages and average scores, with locale-aware string formatting in the scoring module. This supports more accurate evaluation reporting and consistent dashboards across stakeholders. The change was implemented via a single commit to adjust significant figures from 2 to 3.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for google/langfun: Key feature delivered was Scoring Metrics Precision Enhancement, increasing precision to three significant figures for percentages and average scores, with locale-aware string formatting in the scoring module. This supports more accurate evaluation reporting and consistent dashboards across stakeholders. The change was implemented via a single commit to adjust significant figures from 2 to 3.
Activity
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Quality Metrics
Correctness90.0%
Maintainability100.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentCode RefactoringError HandlingNetwork ProgrammingNumerical Precision
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