GDP-ADMIN/gen-ai-examples
Dec 2024 – Dec 2024
1 Month active
Languages Used
MarkdownPythonShellenv
Technical Skills
Data StoresDevOpsDocumentationEnvironment ConfigurationLLMPipeline Orchestration
Muhammad Hakim Asy'ari
PROFILE
Muhammad Hakim Asy'ari
Developed a minimal Retrieval-Augmented Generation (RAG) pipeline demo for the GDP-ADMIN/gen-ai-examples repository, focusing on accelerating prototyping and improving developer onboarding. The work included building a custom data store and integrating mock data to demonstrate end-to-end RAG capabilities using Python and shell scripting. Enhanced the local development environment by validating Google Cloud SDK presence in startup scripts and refining version checks for reliability. Introduced environment-variable-based authentication for Poetry private repositories, streamlining secure access. Updated and standardized setup documentation in Markdown, including .env examples, to support repeatable, scalable configuration and foster a security-conscious approach to credential management for engineering teams.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
4,295
Activity Months1
Your Network
31 peopleWork History
December 2024
5 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary: Delivered a minimal Retrieval-Augmented Generation (RAG) pipeline demo and a suite of developer experience improvements for GDP-ADMIN/gen-ai-examples, focusing on business value, repeatability, and scalable setup. The work accelerates prototyping with RAG capabilities and reduces onboarding friction for engineers, while fostering a security-conscious approach to credentials via environment variables and standardized documentation.
5 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary: Delivered a minimal Retrieval-Augmented Generation (RAG) pipeline demo and a suite of developer experience improvements for GDP-ADMIN/gen-ai-examples, focusing on business value, repeatability, and scalable setup. The work accelerates prototyping with RAG capabilities and reduces onboarding friction for engineers, while fostering a security-conscious approach to credentials via environment variables and standardized documentation.
December 2024
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture88.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonShellenv
Technical Skills
Data StoresDevOpsDocumentationEnvironment ConfigurationLLMPipeline OrchestrationPythonRAGShell Scriptingconfiguration
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