GoogleCloudPlatform/generative-ai
May 2025 – May 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Clearbox LibraryData ScienceMachine LearningPythonSearch RankingVertex AI
Andrei
PROFILE
Andrei
Andrei Papou developed the Clearbox Demo Notebook for Vertex AI Search Ranking in the GoogleCloudPlatform/generative-ai repository, delivering an end-to-end, reproducible workflow for evaluating and tuning search ranking signals. He implemented data loading, feature engineering, and model training using Python and Jupyter Notebook, applying both linear regression and Bayesian optimization to compare the impact of different ranking signals. The notebook demonstrates how the Clearbox library can improve search relevance within Vertex AI, providing a reusable resource for internal and customer-facing validation. Andrei’s work reflects a deep understanding of data science, machine learning, and integration with cloud-based AI platforms.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
665
Activity Months1
Your Network
15 people
Work History
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Key features delivered: Created the Clearbox Demo Notebook for Vertex AI Search Ranking in GoogleCloudPlatform/generative-ai, including data loading, feature engineering, and training two models (linear regression and Bayesian optimization) to tune and compare ranking signals. Major bugs fixed: none reported this period. Overall impact and accomplishments: Provides an end-to-end, reproducible demo that demonstrates Clearbox's ability to improve search relevance in Vertex AI, supporting adoption and customer-facing validation. Technologies/skills demonstrated: Python, Jupyter notebooks, data processing pipelines, feature engineering, end-to-end model training and evaluation, Clearbox library, and Vertex AI integration.
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Key features delivered: Created the Clearbox Demo Notebook for Vertex AI Search Ranking in GoogleCloudPlatform/generative-ai, including data loading, feature engineering, and training two models (linear regression and Bayesian optimization) to tune and compare ranking signals. Major bugs fixed: none reported this period. Overall impact and accomplishments: Provides an end-to-end, reproducible demo that demonstrates Clearbox's ability to improve search relevance in Vertex AI, supporting adoption and customer-facing validation. Technologies/skills demonstrated: Python, Jupyter notebooks, data processing pipelines, feature engineering, end-to-end model training and evaluation, Clearbox library, and Vertex AI integration.
May 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Clearbox LibraryData ScienceMachine LearningPythonSearch RankingVertex AI
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