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Red Teaming

Freelancer Overview

As a Senior Solutions Architect with over 20 years of experience in regulated enterprise environments, I bring deep domain expertise to AI training, model evaluation, and adversarial testing. My background in designing secure cloud architectures and data pipelines uniquely positions me to evaluate complex LLM outputs, particularly in enterprise integrations and code generation. Recently, I have focused on evaluating Generative AI and agentic frameworks, rigorously testing proof-of-concepts for logic failures, output accuracy, and system safety. I understand how enterprise systems fail and how data leaks occur, allowing me to apply a highly effective adversarial mindset to AI Red Teaming. My technical foundation spans Python, JavaScript, AWS (Lambda, Bedrock, Glue), and diverse data stores, giving me the capability to evaluate RAG (Retrieval-Augmented Generation) architectures and AI-generated code. Having spent years ensuring high quality deliverables working with quality assurance processes and ensuring data fidelity for risk modeling, I am highly skilled at identifying edge cases, validating data lineage, and ensuring strict data governance. I leverage this extensive Solutioning, Development, QA and systems background to provide precise human feedback (RLHF), structured evaluations, and high-fidelity annotations for frontier AI models.

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