Shuntoria Reid

I’m an AI Trainer and AI Model Evaluation professional who enhances Large Language Models (LLMs) by optimizing performance through human feedback. I build robust validation processes, identify model errors, and translate complex technical findings into clear, actionable feedback.

I’m currently expanding my applied AI foundation while pursuing a Bachelor of Science in Computer Science at Full Sail University, with a focus on applied AI, model evaluation, prompt engineering, and responsible AI development. That blend of rigorous validation and practical implementation drives how I improve model quality.

In my current role (Computer Science Expert at Handshake AI), I contribute to enhancing LLMs by developing domain-specific prompts and evaluating AI-generated responses across STEM and coding tasks. I also rewrite and refine AI-generated responses to improve factual accuracy and clarity, and I draft coding prompts to evaluate technical accuracy and efficiency.

Previously, as a Gen AI Engineer at Randstad, I supported the full lifecycle of Gen AI model development and deployment—from data extraction and preparation to model testing and validation. I developed RAG-powered enterprise document assistants and LLM-driven customer support chatbots, designed AI agents for routine operations, and improved reliability through comprehensive testing using statistical and business metrics. Earlier, at Sepal AI, I designed, optimized, and evaluated prompts for diverse AI models (LLMs and image models), using A/B testing to mitigate edge cases, bias, and hallucinations and strengthen user trust.