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
Developed the Clearbox Demo Notebook for Vertex AI Search Ranking in the GoogleCloudPlatform/generative-ai repository, delivering an end-to-end, reproducible workflow to demonstrate improvements in search relevance. The work involved building data loading and feature engineering pipelines in Python and Jupyter Notebook, followed by training and evaluating both linear regression and Bayesian optimization models to tune ranking signals. By comparing model outputs, the notebook showcased how the Clearbox library can enhance search ranking within Vertex AI. The solution provided an accessible, reusable resource for internal and external validation, supporting adoption and customer-facing demonstrations without introducing any reported bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
665
Activity Months1
Your Network
22 peopleShared Repositories
22
Abhishek BhagwatMember
Alicia WilliamsMember
Ariel JassanMember
Mend RenovateMember
Bo zhengMember
Carson EngMember
divyamj-ghubMember
DY LimMember
Holt SkinnerMember
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
Repositories Contributed To
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