The University of Texas at Dallas
Bachelor of Science, Computer Science
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have hands-on experience creating and evaluating AI training data for image-generation safety tasks, with a focus on red-team prompt design, policy labeling, and edge-case analysis. My work involves writing realistic adversarial prompts, selecting appropriate target labels such as refusal, compliance, or borderline cases, and ensuring each task follows detailed evaluation guidelines. This has helped me build strong judgment around model safety, prompt quality, harmful-content boundaries, and how to make training data both realistic and useful for improving model behavior. In addition to AI training data work, I bring a technical cybersecurity background that strengthens my attention to detail and analytical thinking. I have experience triaging security alerts, reviewing endpoint and log activity, analyzing suspicious emails and malware indicators, mapping activity to MITRE ATT&CK techniques, and documenting findings clearly for analyst review. I also built a malware analysis lab where I practiced static and dynamic analysis, IOC extraction, and containment-focused reporting. Together, my AI safety experience, cybersecurity background, and technical writing skills allow me to produce high-quality labeled data with accuracy, consistency, and strong policy awareness.
Bachelor of Science, Computer Science
Operations Lead
Incident Response Co-op