
Developed features across the punkpeye/awesome-mcp-servers and google-gemini/cookbook repositories, focusing on AI compliance and agent infrastructure. Enhanced AgentModule documentation by detailing agent-native knowledge bases and introducing a Glama score badge to improve performance metric visibility, using Markdown and Python for maintainable, reproducible updates. Built an automated EU AI Act Compliance Verification Demo leveraging Gemini function calling and dynamic API integration, implementing robust trial-key management and error handling to streamline compliance workflows. Improved documentation, branding, and CI-friendly notebook presentation, demonstrating skills in data handling, function calling, and knowledge management while addressing regulatory requirements and onboarding needs for autonomous agents.
May 2026 Monthly Summary for google-gemini/cookbook: Delivered an automated EU AI Act Compliance Verification Demo using Gemini function calling and the Agent Module, featuring dynamic API discovery, error handling for trial keys, and structured compliance logic retrieval. Implemented resilient trial-key management (unique per-run agent_id, idempotent retrieval) and improved status handling to prevent data corruption. This work accelerates regulatory compliance checks, reduces manual effort, and enhances reliability of compliance workflows. Technologies demonstrated include Gemini function calling, the Agent Module, dynamic API discovery, Colab notebook automation, and CI/documentation improvements, including branding updates to AI Compliance modules and CI-friendly notebook presentation.
May 2026 Monthly Summary for google-gemini/cookbook: Delivered an automated EU AI Act Compliance Verification Demo using Gemini function calling and the Agent Module, featuring dynamic API discovery, error handling for trial keys, and structured compliance logic retrieval. Implemented resilient trial-key management (unique per-run agent_id, idempotent retrieval) and improved status handling to prevent data corruption. This work accelerates regulatory compliance checks, reduces manual effort, and enhances reliability of compliance workflows. Technologies demonstrated include Gemini function calling, the Agent Module, dynamic API discovery, Colab notebook automation, and CI/documentation improvements, including branding updates to AI Compliance modules and CI-friendly notebook presentation.
March 2026 monthly summary for punkpeye/awesome-mcp-servers focused on strengthening AgentModule documentation and visibility into agent-native knowledge infrastructure. Delivered a comprehensive Knowledge & Memory entry detailing deterministic, vertical-specific knowledge bases for autonomous agent consumption, and introduced a Glama score badge to quickly surface performance metrics. This work enhances maintainability, onboarding, and decision-quality for agents, with traceable changes committed for reproducibility.
March 2026 monthly summary for punkpeye/awesome-mcp-servers focused on strengthening AgentModule documentation and visibility into agent-native knowledge infrastructure. Delivered a comprehensive Knowledge & Memory entry detailing deterministic, vertical-specific knowledge bases for autonomous agent consumption, and introduced a Glama score badge to quickly surface performance metrics. This work enhances maintainability, onboarding, and decision-quality for agents, with traceable changes committed for reproducibility.

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