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Yehia Elshater

PROFILE

Yehia Elshater

Over a three-month period, this developer delivered three features across GoogleCloudPlatform/vertex-ai-samples, Shubhamsaboo/adk-samples, and google/adk-samples, focusing on data discovery and deployment reliability. They implemented metadata-based search filtering in a Vertex AI image warehouse notebook, enabling users to filter results by attributes such as aspect ratio and creator using Python and Jupyter Notebook. In Shubhamsaboo/adk-samples, they built a sequential agent leveraging BigQuery and SQL to surface trending search terms by region and time period. Additionally, they upgraded the Google Trends agent ADK, refined deployment commands, and configured regional settings to enhance cloud deployment workflows and operational stability.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
3
Lines of code
2,478
Activity Months3

Work History

May 2026

1 Commits • 1 Features

May 1, 2026

May 2026 monthly summary for google/adk-samples: Delivered a feature upgrade of the Google Trends agent ADK to the latest version (>=1.31.0), configured the regional Google Cloud setting, and refined deployment commands to improve functionality and reliability. No major bugs fixed this month; focus was on feature delivery and deployment stabilization with cross-team collaboration.

September 2025

1 Commits • 1 Features

Sep 1, 2025

For 2025-09, delivered the Google Trends Insights Agent (BigQuery-powered) in Shubhamsaboo/adk-samples. The agent is a sequential workflow that first generates a SQL query and then executes it to surface top trending search terms by region and time period. This feature enhances data discovery in the repository and enables data-driven decision making with scalable BigQuery-backed insights. Related commit: 8faee5f027ff454120da2f54e4449f4ffd077227 (feat: add Google Trends Agent (#331)).

April 2025

1 Commits • 1 Features

Apr 1, 2025

April 2025 monthly summary focusing on feature delivery in GoogleCloudPlatform/vertex-ai-samples: Image Warehouse SDK Notebook: Metadata-based search filtering, plus supporting notebook setup improvements. The feature enables filtering search results by metadata such as aspect ratio and creator, with new code cells demonstrating the filtering workflow, and accompanying dependency installations and formatting fixes to ensure the notebook runs reliably.

Activity

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Quality Metrics

Correctness83.4%
Maintainability80.0%
Architecture83.4%
Performance73.4%
AI Usage46.6%

Skills & Technologies

Programming Languages

Jinja2Jupyter NotebookPythonSQL

Technical Skills

API IntegrationAgent DevelopmentBigQueryCloud ComputingData AnalysisData FilteringDeploymentLLM IntegrationMachine Learning OperationsPythonSDK IntegrationVertex AI

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

GoogleCloudPlatform/vertex-ai-samples

Apr 2025 Apr 2025
1 Month active

Languages Used

Jupyter NotebookPython

Technical Skills

Cloud ComputingData FilteringMachine Learning OperationsSDK Integration

Shubhamsaboo/adk-samples

Sep 2025 Sep 2025
1 Month active

Languages Used

Jinja2PythonSQL

Technical Skills

Agent DevelopmentBigQueryData AnalysisLLM IntegrationPythonVertex AI

google/adk-samples

May 2026 May 2026
1 Month active

Languages Used

Python

Technical Skills

API IntegrationCloud ComputingDeploymentPython