GDP-ADMIN/gen-ai-examples
Mar 2025 – Mar 2025
1 Month active
Languages Used
PythonShell
Technical Skills
GenAILLM Pipeline DevelopmentOpenTelemetryPoetryPython DevelopmentShell Scripting
Irvan Ariyanto
PROFILE
Irvan Ariyanto
Irvan Ariyanto developed an end-to-end simple pipeline example for the GLLM Plugin within the GDP-ADMIN/gen-ai-examples repository, focusing on streamlining user input processing to a response synthesizer. He designed and implemented the pipeline using Python and Shell scripting, providing both the core execution script and a shell-based setup for local development. The solution included all necessary configuration files, establishing a clear and reusable pattern for future plugin pipelines. Leveraging skills in GenAI, LLM pipeline development, and OpenTelemetry, Irvan’s work accelerated experimentation with the GLLM Plugin and laid a foundation for more complex integrations in subsequent development cycles.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
3,694
Activity Months1
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for GDP-ADMIN/gen-ai-examples focused on delivering an end-to-end GLLM Plugin Simple Pipeline Example. Implemented a minimal pipeline that routes user input to a response synthesizer, including the necessary config files, a Python script for pipeline execution, and a shell script for local setup and running. The work established a reusable pattern for future plugin pipelines and accelerates experimentation with the GLLM Plugin.
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for GDP-ADMIN/gen-ai-examples focused on delivering an end-to-end GLLM Plugin Simple Pipeline Example. Implemented a minimal pipeline that routes user input to a response synthesizer, including the necessary config files, a Python script for pipeline execution, and a shell script for local setup and running. The work established a reusable pattern for future plugin pipelines and accelerates experimentation with the GLLM Plugin.
March 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
GenAILLM Pipeline DevelopmentOpenTelemetryPoetryPython DevelopmentShell Scripting
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