AI Tutor in Coding
- Evaluated LLMs and AI agents for vulnerabilities, safety risks, and failure modes.
- Designed offline, reproducible, auto-evaluable test cases to assess AI behavior and reasoning.
- Conducted realistic attack simulations, including prompt injection and adversarial misuse.
- Documented findings and provided mitigation recommendations aligned with AI safety principles.
