07/05/2026 updated
100 % available
AI Engineer & Full-Stack Developer | Python, React, Node.js & Automation
Greenwood, USA
Only remote
Bachelor of Science in Computer Science, Full Sail UniversityAbout me
Hi, I’m Shuntoria Reid, an AI Engineer and full-stack developer skilled in Python, SQL, JavaScript, React, Node.js, APIs, and automation. I build practical AI-powered tools, clean web apps, and reliable workflows that solve real business problems.
AI AgentsRAGOpenAILLaMALangChainSupabaseJavaScriptArtificial IntelligenceData AnalysisBootstrap (Software)C++ (Programming Language)Software QualityGitHubPython (Programming Language)PostgreSQL
Large Language Model (LLM) Training & Evaluation
Extensive experience evaluating and refining LLM responses for accuracy, tone, and safety. Expertise in RLHF tasks, prompt engineering, and authoring gold-standard responses to improve model performance and reduce bias.
Python & AI Development
Proficiency in Python for designing, developing, and deploying AI models, running comparative analyses of AI outputs, performing validation scripts, and integrating AI agents into data warehouse environments.
Data Annotation & Labeling
High-precision data annotation and labeling across text, image, and audio datasets. Consistent achievement of 95%+ accuracy rates, contributing directly to the training of machine learning algorithms for global clients.
Full-Stack Web Development
Knowledge of Java, SQL, React, Node.js, and APIs for building full-stack web applications, designing database schemas, and integrating third-party APIs to extend application functionality.
Software Testing & QA
End-to-end exploratory testing on mobile and web applications, including regression testing, bug reporting, UI/UX evaluation, and defect trend analysis to ensure software quality and stability.
Docker & CI/CD Pipelines
Experience using Docker containers and CI/CD pipelines to streamline production releases, improve deployment consistency, and increase AI model inference speed.
Computer Vision & Image Labeling
Accurate image labeling for computer vision projects, categorizing visual data in detail to improve data quality and accelerate object detection model development.
Cloud & Data Platforms (Snowflake, BigQuery, GitHub)
Practical experience with Snowflake, BigQuery, and GitHub for data management, compliance auditing, version control, and supporting AI governance initiatives.
Transformer Models & Automated Feature Engineering
Research and implementation of transformer models and automated feature-engineering pipelines to enhance model accuracy and expand system capabilities.
Quality Assurance & Rubric-Based Review
Application of structured rubrics and quality assurance processes to evaluate task submissions for accuracy, completeness, safety compliance, and logical consistency.
Extensive experience evaluating and refining LLM responses for accuracy, tone, and safety. Expertise in RLHF tasks, prompt engineering, and authoring gold-standard responses to improve model performance and reduce bias.
Python & AI Development
Proficiency in Python for designing, developing, and deploying AI models, running comparative analyses of AI outputs, performing validation scripts, and integrating AI agents into data warehouse environments.
Data Annotation & Labeling
High-precision data annotation and labeling across text, image, and audio datasets. Consistent achievement of 95%+ accuracy rates, contributing directly to the training of machine learning algorithms for global clients.
Full-Stack Web Development
Knowledge of Java, SQL, React, Node.js, and APIs for building full-stack web applications, designing database schemas, and integrating third-party APIs to extend application functionality.
Software Testing & QA
End-to-end exploratory testing on mobile and web applications, including regression testing, bug reporting, UI/UX evaluation, and defect trend analysis to ensure software quality and stability.
Docker & CI/CD Pipelines
Experience using Docker containers and CI/CD pipelines to streamline production releases, improve deployment consistency, and increase AI model inference speed.
Computer Vision & Image Labeling
Accurate image labeling for computer vision projects, categorizing visual data in detail to improve data quality and accelerate object detection model development.
Cloud & Data Platforms (Snowflake, BigQuery, GitHub)
Practical experience with Snowflake, BigQuery, and GitHub for data management, compliance auditing, version control, and supporting AI governance initiatives.
Transformer Models & Automated Feature Engineering
Research and implementation of transformer models and automated feature-engineering pipelines to enhance model accuracy and expand system capabilities.
Quality Assurance & Rubric-Based Review
Application of structured rubrics and quality assurance processes to evaluate task submissions for accuracy, completeness, safety compliance, and logical consistency.
Experience
Professional experience10+ years
Freelancer since2015
Languages
EnglishNative speaker
Project history
Evaluated and refined LLM responses for accuracy, tone, and safety. Crafted high-quality prompts and response sets, classified and tagged large datasets, managed end-to-end data entry and verification, and synthesized annotation guidelines to streamline onboarding.
Performed high-volume data labeling and annotation across various datasets, evaluated search engine results, analyzed user intent, performed image labeling for computer vision projects, and standardized annotation practices through documented process refinements.
Evaluated and ranked AI-generated responses, identified factual hallucinations and logical errors in LLMs, collaborated on RLHF tasks, authored original prompts and gold-standard responses, and audited AI outputs for bias and accuracy, reducing flagged bias incidents by 15%.