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Mindrift
OneForma
Toloka
Telus
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Data Collection
Red Teaming
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RLHF
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Text GenerationTechnical Subject Matter Expert (SME) specializing in Cybersecurity, Identity and Access Management (IAM), and Adversarial AI Testing. I bring a disciplined, analytical approach to AI training, with specific experience in Reinforcement Learning from Human Feedback (RLHF) and Red Teaming. My background in Cisco networking and ISC2 cybersecurity frameworks allows me to evaluate AI outputs for technical accuracy, security compliance, and logical consistency. I have extensive experience in Adversarial Prompt Engineering, where I manually stress-test Large Language Models (LLMs) to identify hallucinations, security vulnerabilities, and logic gaps. Whether auditing smart-contract explanations or verifying system administration guides, I focus on ensuring that AI-generated data is safe, accurate, and production-ready.
TextRed TeamingConducted adversarial stress-testing (Red Teaming) for decentralized AI protocols. My work focused on 'jailbreaking' and boundary testing LLMs to identify security vulnerabilities, logical fallacies, and hallucination triggers. I drafted complex, multi-step prompts to evaluate the model's safety guardrails and response consistency, providing detailed feedback to developers on model limitations and failure points
K-12 Technical-Vocational-Livelihood Track Certificate, Computer Systems Servicing
Cybersecurity Analyst & IAM Professional
Security Systems Architect & Researcher (Self-Initiated)
