GoogleCloudPlatform/devrel-demos
Feb 2026 – Apr 2026
3 Months active
Languages Used
MarkdownPythonJavaScriptSQL
Technical Skills
AI DevelopmentBigQueryCloud ComputingData EngineeringGoogle CloudJupyter Notebook
rachael-ds
PROFILE
Rachael-ds
Over three months, contributed to the GoogleCloudPlatform/devrel-demos repository by building end-to-end demo pipelines for manufacturing knowledge graphs and event-driven fraud detection. Developed data ingestion workflows for unstructured PDFs, implemented entity extraction using Gemini, and modeled customer-product relationships in BigQuery property graphs. Enhanced deployment with Vertex AI scripts and improved demo reproducibility through automated Google Cloud Storage setup with idempotent checks. Established project architecture and simulators for fraud detection, focusing on maintainability and onboarding through comprehensive documentation and licensing updates. Leveraged Python, SQL, and JavaScript to deliver scalable, production-ready solutions that streamline AI-assisted querying and accelerate customer and developer onboarding.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
4
Lines of code
61,714
Activity Months3
Your Network
4790 peopleSame Organization
@google.com4738
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Shared Repositories
52
Work History
April 2026
4 Commits • 1 Features
Apr 1, 20262026-04: Delivered a foundational Event-Driven Data Agent Demo for fraud detection on Google Cloud, establishing core project architecture, setup scripts, data simulators, and usage guidelines to enable rapid prototyping of fraud-detection workflows. Published developer-facing documentation (README and LICENSE) and simplified onboarding. Strengthened licensing and readability by updating the license header in continuous_query.sql to block comments. These efforts improve maintainability, governance, and the business value of fraud-detection demos with a repeatable, well-documented bootstrap.
4 Commits • 1 Features
Apr 1, 20262026-04: Delivered a foundational Event-Driven Data Agent Demo for fraud detection on Google Cloud, establishing core project architecture, setup scripts, data simulators, and usage guidelines to enable rapid prototyping of fraud-detection workflows. Published developer-facing documentation (README and LICENSE) and simplified onboarding. Strengthened licensing and readability by updating the license header in continuous_query.sql to block comments. These efforts improve maintainability, governance, and the business value of fraud-detection demos with a repeatable, well-documented bootstrap.
April 2026
March 2026
2 Commits • 1 Features
Mar 1, 2026Month: 2026-03 — Delivered the Google Cloud Storage Demo Data Setup in the devrel-demos repo, enabling reproducible demo environments for customers and internal teams. Implemented a new GCS bucket creation and data copy workflow with idempotent checks (skip if bucket exists) to prevent errors and data duplication. This work ensures object table creation works with the default connection and reduces setup complexity for demos.
March 2026
2 Commits • 1 Features
Mar 1, 2026Month: 2026-03 — Delivered the Google Cloud Storage Demo Data Setup in the devrel-demos repo, enabling reproducible demo environments for customers and internal teams. Implemented a new GCS bucket creation and data copy workflow with idempotent checks (skip if bucket exists) to prevent errors and data duplication. This work ensures object table creation works with the default connection and reduces setup complexity for demos.
February 2026
6 Commits • 2 Features
Feb 1, 2026February 2026 performance summary for GoogleCloudPlatform/devrel-demos: Delivered an end-to-end Manufacturing Knowledge Graph demo with a data pipeline for unstructured PDFs, Gemini-based entity extraction, a BigQuery Property Graph, and an ADK Agent for Graph RAG querying, with Vertex AI deployment scripts. Expanded the graph with a customer purchases table to model customer-product relationships. Implemented licensing, documentation, and code quality improvements to enhance compliance and developer experience, including error handling refinements and notebook simplification. No major bugs reported this month; minor fixes from code review were applied. Overall impact: a production-ready, demo-ready knowledge-graph pipeline enabling AI-assisted querying and scalable deployment, strengthening business value through actionable insights and faster onboarding. Technologies/skills demonstrated: data pipelines, unstructured data ingestion, graph databases, ADK, Graph RAG, Vertex AI, BigQuery, Gemini OCR/entity extraction, licensing/compliance, documentation, and code quality improvements.
6 Commits • 2 Features
Feb 1, 2026February 2026 performance summary for GoogleCloudPlatform/devrel-demos: Delivered an end-to-end Manufacturing Knowledge Graph demo with a data pipeline for unstructured PDFs, Gemini-based entity extraction, a BigQuery Property Graph, and an ADK Agent for Graph RAG querying, with Vertex AI deployment scripts. Expanded the graph with a customer purchases table to model customer-product relationships. Implemented licensing, documentation, and code quality improvements to enhance compliance and developer experience, including error handling refinements and notebook simplification. No major bugs reported this month; minor fixes from code review were applied. Overall impact: a production-ready, demo-ready knowledge-graph pipeline enabling AI-assisted querying and scalable deployment, strengthening business value through actionable insights and faster onboarding. Technologies/skills demonstrated: data pipelines, unstructured data ingestion, graph databases, ADK, Graph RAG, Vertex AI, BigQuery, Gemini OCR/entity extraction, licensing/compliance, documentation, and code quality improvements.
February 2026
Activity
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Quality Metrics
Correctness96.8%
Maintainability90.0%
Architecture91.6%
Performance90.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
JavaScriptMarkdownPythonSQL
Technical Skills
AI DevelopmentAI developmentBigQueryCloud ComputingData EngineeringGoogle CloudGoogle Cloud PlatformJavaScriptJavaScript programmingJupyter NotebookMachine LearningPythonPython developmentPython programmingSQL
Repositories Contributed To
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