Own discovery and the product backlog for AI-assisted features, from client need to written specification and acceptance criteria. Define how quality is measured and make sure what ships holds up, including when the model fails.

Design and implement advanced AI systems using large language models, vector databases, and orchestration frameworks. Build intelligent solutions that solve real business problems.

Lead quality assurance for software and AI systems. Design automation frameworks and testing protocols that ensure reliability, safety, and ethical AI performance.