Evaluated AI/LLM models for vulnerabilities and safety risks, improving model reliability and reducing exploitation exposure by 35% across test scenarios. Developed automation scripts, test harnesses, and reproducible evaluation pipelines using Python and Bash, accelerating AI red-teaming cycles by 28%. Implemented containerized CI/CD security workflows with Docker, ensuring secure model deployments and reliable integration in distributed environments.
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