google-gemini/cookbook
Jan 2026 – Apr 2026
2 Months active
Languages Used
Python
Technical Skills
AI DevelopmentCloud ComputingMachine LearningSecurity Best PracticesAI SafetyNotebook Development
Nguyen Khanh Linh
PROFILE
Nguyen Khanh Linh
During a two-month period, Linh Nguyen developed security-focused features for the google-gemini/cookbook repository, concentrating on agentic AI systems. Linh authored a comprehensive development notebook using Python and cloud-based tools, detailing secure workflows with the Agent Development Kit and Gemini, and implemented practical guardrails to mitigate vulnerabilities such as session poisoning and jailbreak attempts. In a subsequent release, Linh delivered an AI Safety Plugin leveraging machine learning to automatically judge user inputs and outputs for safety violations, while also improving code readability and maintainability through formatting and logic updates. The work demonstrated depth in AI safety, cloud computing, and notebook development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
6,653
Activity Months2
Your Network
36 peopleWork History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for google-gemini/cookbook: Delivered the AI Safety Plugin with an LLM-based Judge to assess user inputs/outputs for potential safety violations. Updated the Model Armor template integration, fixed critical logic issues, and enhanced notebook readability and maintainability. Formatting improvements (nbfmt, Black) and alignment with latest library changes improve future maintenance and safety posture, with clear business value in risk reduction and faster iteration.
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for google-gemini/cookbook: Delivered the AI Safety Plugin with an LLM-based Judge to assess user inputs/outputs for potential safety violations. Updated the Model Armor template integration, fixed critical logic issues, and enhanced notebook readability and maintainability. Formatting improvements (nbfmt, Black) and alignment with latest library changes improve future maintenance and safety posture, with clear business value in risk reduction and faster iteration.
April 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary highlighting key business value and technical achievements from the google-gemini/cookbook repository. The focus was delivering a security-forward artifact that guides secure development of Agentic AI systems using ADK and Gemini, with practical guardrails to mitigate vulnerabilities and enhance governance.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary highlighting key business value and technical achievements from the google-gemini/cookbook repository. The focus was delivering a security-forward artifact that guides secure development of Agentic AI systems using ADK and Gemini, with practical guardrails to mitigate vulnerabilities and enhance governance.
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI DevelopmentAI SafetyCloud ComputingMachine LearningNotebook DevelopmentPython DevelopmentSecurity Best Practices
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