Shuntoria Reid

About

I’m an AI/ML and software engineering professional with a strong background in computer science, generative AI, full-stack development, AI model evaluation, and intelligent automation. I help businesses and technical teams build reliable, scalable solutions that combine software engineering with practical artificial intelligence. My experience includes working with large language models, prompt engineering, retrieval-augmented generation, AI agents, machine learning workflows, model testing, and technical evaluation. I have evaluated AI-generated responses across coding, STEM, and general reasoning tasks, identified issues such as hallucinations, bias, weak logic, and inconsistent outputs, and provided clear feedback to improve model quality and reliability. As an AI Engineer, I can support projects involving LLM applications, RAG-powered assistants, AI chatbots, automated workflows, prompt optimization, model validation, data preparation, and human-feedback processes. I understand that successful AI systems require more than strong models. They also need accurate data, well-designed prompts, dependable evaluation methods, secure integrations, and a clear understanding of the business problem being solved. My full-stack engineering skills allow me to contribute across both frontend and backend development. I am comfortable building responsive user interfaces, developing APIs, connecting databases, integrating third-party services, and supporting cloud-based applications. My technical background includes Python, JavaScript, TypeScript, React, backend development, data processing, debugging, testing, and software documentation. I also bring experience in computer science and technical reasoning, including reviewing software code, analyzing complex systems, creating coding-related evaluation tasks, and improving technical outputs for accuracy and efficiency. I approach every project with careful attention to detail and a strong focus on producing work that is practical, maintainable, and aligned with the client’s goals. Services I can provide include: * AI and machine learning development * Generative AI and LLM applications * AI model evaluation and quality assurance * Prompt engineering and prompt optimization * RAG systems and enterprise knowledge assistants * AI agents and workflow automation * Chatbot development and customer-support automation * Full-stack web application development * React, JavaScript, and TypeScript development * Python development and API integration * Data extraction, preparation, and validation * Model testing, error analysis, and hallucination detection * Technical research and coding evaluation * A/B testing and performance analysis * Documentation, reporting, and technical communication I am a dependable, self-motivated professional who takes ownership of my work and communicates clearly throughout the project. I learn quickly, adapt well to new tools and requirements, and remain focused when working through complex technical challenges. I value deadlines, accuracy, transparency, and long-term client relationships. My goal is not simply to complete assigned tasks. I aim to understand the larger objective, identify potential risks, recommend practical improvements, and deliver solutions that create measurable value. Whether you need help evaluating an AI model, developing an intelligent application, automating a workflow, improving an existing software system, or supporting a technical research project, I will bring dedication, technical judgment, and a strong commitment to quality.

Experience

• Computer Science Expert · Handshake AI01-01-2025

  Contributed to enhancing Large Language Models (LLMs) by developing domain-specific prompts and evaluating AI-generated responses. Participated in AI research projects, leveraging expertise in computer science to improve LLM capabilities and explore new applications. Developed and evaluated domain-specific prompts for Large Language Models across STEM and coding tasks, enhancing model accuracy and relevance. Rewrote and refined AI-generated responses, particularly in STEM fields, to ensure factual accuracy and clarity, significantly improving output quality. Analyzed and refined complex software codebases, and drafted coding prompts to evaluate and improve AI model responses for technical accuracy and efficiency.

• Gen AI Engineer · Randstad2023 – 2026

  Participated in the full lifecycle of Gen AI model development and deployment, from data extraction and preparation to model testing and validation. Collaborated with business and technology teams to translate requirements into actionable models, ensuring data quality and performance optimization. Developed and deployed RAG-powered enterprise document assistants and LLM-driven customer support chatbots, enhancing information retrieval and automating user inquiries. Designed and implemented AI agents for automating routine operations and internal processes, including email drafting, task scheduling, and workflow planning, significantly improving efficiency. Participated in comprehensive model testing and validation processes, optimizing algorithm selection based on statistical and business metrics, and ensuring data quality for robust model development.

• AI Prompt Engineer · Sepal AI2016 – 2022

  Designed, optimized, and evaluated prompts for diverse AI models (LLMs, image models) to enhance performance. Analyzed outputs, conducted A/B testing, and refined prompts. Mitigated AI response issues like edge cases, bias, and hallucinations for improved reliability. Designed, tested, and refined prompts for diverse AI models (LLMs, image models) to optimize performance, enhance accuracy, and ensure relevance of AI-generated outputs. Analyzed AI-generated outputs and enhanced prompt performance, conducting A/B testing and performance evaluations to ensure accuracy and relevance. Identified and mitigated edge cases, bias, hallucinations, and inconsistencies in AI responses to improve model reliability and user trust.

• Full-Stack Software Engineer · Toptal2018

  Developed and maintained end-to-end web applications using React, JavaScript, TypeScript, Python, REST APIs, and relational databases. Built responsive frontend interfaces, implemented secure backend services, integrated third-party APIs, and managed data workflows between client applications and server-side systems. Collaborated with product, design, and engineering teams to translate business requirements into reliable technical solutions. Improved application performance, resolved software defects, wrote reusable and well-documented code, and supported testing, deployment, and ongoing system maintenance. Also integrated AI-powered features, including chatbots, automated workflows, and retrieval-based tools, into existing applications.

Education

• BloomTechFull Stack Web Development
• Full Sail UniversityBachelors, Computer Science

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