Shubhamsaboo/adk-samples
Sep 2025 – Sep 2025
1 Month active
Languages Used
Python
Technical Skills
AI Agent DevelopmentDocument AnalysisGoogle CloudHealthcare TechnologyLLM IntegrationVertex AI
agarwaldipali-hash
PROFILE
Agarwaldipali-hash
Developed an AI-driven medical pre-authorization sample agent for the Shubhamsaboo/adk-samples repository, focusing on automating the analysis of medical records and insurance policies. Leveraging Python, Google Cloud, and Vertex AI, the solution implemented a multi-agent framework to extract information from unstructured documents, analyze data, and generate decision reports. This approach streamlined healthcare administrative workflows by reducing manual effort and standardizing approval processes. The agent demonstrated integration of LLM-based document analysis and workflow automation, providing a reusable pattern for healthcare automation. The work emphasized end-to-end traceability and addressed real-world healthcare use cases, accelerating prototyping for administrative decision-making tasks.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
4,173
Activity Months1
Your Network
4751 peopleSame Organization
@google.com4703
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Shared Repositories
48
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for Shubhamsaboo/adk-samples: Delivered a new AI-driven medical pre-authorization sample agent. This feature automates analyzing medical records and insurance policies using a multi-agent system to extract information, analyze data, and generate a decision report, streamlining healthcare administrative tasks and enabling AI-assisted approval workflows. No major bugs fixed this month. Overall impact: reduces manual effort in pre-authorization, accelerates and standardizes approval workflows, and provides a reusable sample demonstrating healthcare automation patterns. Technologies demonstrated: AI agent design, multi-agent orchestration, information extraction from unstructured medical records and policy documents, decision-report generation, and sample-based automation for healthcare workflows. Key deliverable: added medical-pre-authorization sample agent with commit 5440f8f24f44b8fc572a141bc05ba5d35b43cdd4 (feat: add medical-pre-authorization sample agent (#358)).
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for Shubhamsaboo/adk-samples: Delivered a new AI-driven medical pre-authorization sample agent. This feature automates analyzing medical records and insurance policies using a multi-agent system to extract information, analyze data, and generate a decision report, streamlining healthcare administrative tasks and enabling AI-assisted approval workflows. No major bugs fixed this month. Overall impact: reduces manual effort in pre-authorization, accelerates and standardizes approval workflows, and provides a reusable sample demonstrating healthcare automation patterns. Technologies demonstrated: AI agent design, multi-agent orchestration, information extraction from unstructured medical records and policy documents, decision-report generation, and sample-based automation for healthcare workflows. Key deliverable: added medical-pre-authorization sample agent with commit 5440f8f24f44b8fc572a141bc05ba5d35b43cdd4 (feat: add medical-pre-authorization sample agent (#358)).
September 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage100.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI Agent DevelopmentDocument AnalysisGoogle CloudHealthcare TechnologyLLM IntegrationVertex AIWorkflow Automation
Repositories Contributed To
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