Anthropic Bug Bounty - AI Safety Research

Selected as one of the few participants in Anthropic's invitation-only bug bounty program focused on AI safety research and vulnerability discovery in large language models.

Conducted systematic research into adversarial prompt injection techniques and discovered critical vulnerabilities in transformer architectures that could lead to model manipulation and safety bypasses.

Developed novel testing methodologies for identifying edge cases in foundation model behavior, contributing to improved safety protocols and mitigation strategies for production LLM deployments.