Shuntoria Reid
Atlanta, United States
Shuntoria Reid
AI Engineer for Chatbots, Automation & Full-Stack
Category : Artificial intelligence (AI)
AI Engineer | Chatbots, Automation, AI Workflows & Full-Stack AI Apps
I help businesses build practical AI-powered solutions that save time, improve customer support, and make daily operations more efficient. My services include AI chatbots, workflow automation, API integrations, data processing tools, AI-assisted web applications, and full-stack development.
I work with tools and technologies such as Python, JavaScript, React, Node.js, SQL, APIs, automation tools, and AI development workflows. I can help create customer support agents, internal business assistants, data review tools, AI dashboards, chatbot systems, and custom web apps that connect clean front-end design with reliable backend functionality.
My background includes software support, troubleshooting, full-stack development, AI projects, data quality review, and automation. I focus on building solutions that are easy to use, reliable, and tailored to each client’s needs.
Services I offer:
* AI chatbot setup and customization
* AI customer support agent development
* Workflow automation for businesses
* API integration and backend support
* Full-stack AI web applications
* Data processing and review tools
* AI prompt/workflow improvement
* Technical troubleshooting and software support
I am detail-oriented, communicative, and focused on delivering clean, practical solutions that help businesses work smarter.
I help businesses build practical AI-powered solutions that save time, improve customer support, and make daily operations more efficient. My services include AI chatbots, workflow automation, API integrations, data processing tools, AI-assisted web applications, and full-stack development.
I work with tools and technologies such as Python, JavaScript, React, Node.js, SQL, APIs, automation tools, and AI development workflows. I can help create customer support agents, internal business assistants, data review tools, AI dashboards, chatbot systems, and custom web apps that connect clean front-end design with reliable backend functionality.
My background includes software support, troubleshooting, full-stack development, AI projects, data quality review, and automation. I focus on building solutions that are easy to use, reliable, and tailored to each client’s needs.
Services I offer:
* AI chatbot setup and customization
* AI customer support agent development
* Workflow automation for businesses
* API integration and backend support
* Full-stack AI web applications
* Data processing and review tools
* AI prompt/workflow improvement
* Technical troubleshooting and software support
I am detail-oriented, communicative, and focused on delivering clean, practical solutions that help businesses work smarter.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
Evaluated and refined Large Language Model responses to improve accuracy, tone, and safety.
Crafted high-quality prompts and response sets to teach AI models how to handle creative writing and technical problem-solving tasks.
Collaborated on feedback loops, identified edge cases, and corrected model failures.
Classified and tagged large datasets including text, image, and audio.
Followed project guidelines to review ambiguous data, achieving over 98% accuracy.
Audited labeled data to find inconsistencies and improve labeling instructions.
Managed end-to-end entry and verification of sensitive project data.
Ensured 100% data integrity and compliance with RWS security standards.
Streamlined data collection workflows by identifying repetitive manual tasks.
Cross-referenced information from multiple sources to resolve discrepancies.
Documented annotation guidelines and helped reduce onboarding time for new team members.
Crafted high-quality prompts and response sets to teach AI models how to handle creative writing and technical problem-solving tasks.
Collaborated on feedback loops, identified edge cases, and corrected model failures.
Classified and tagged large datasets including text, image, and audio.
Followed project guidelines to review ambiguous data, achieving over 98% accuracy.
Audited labeled data to find inconsistencies and improve labeling instructions.
Managed end-to-end entry and verification of sensitive project data.
Ensured 100% data integrity and compliance with RWS security standards.
Streamlined data collection workflows by identifying repetitive manual tasks.
Cross-referenced information from multiple sources to resolve discrepancies.
Documented annotation guidelines and helped reduce onboarding time for new team members.
Performed high-volume data labeling and annotation across various datasets.
Identified and corrected inconsistencies in complex data strings.
Maintained 95%+ accuracy according to project guidelines.
Collaborated with project leads to refine annotation rubrics.
Evaluated and rated search engine results.
Analyzed user intent and query-to-result mapping.
Met strict deadlines and performance benchmarks.
Performed image labeling for computer vision projects.
Categorized visual data to support object detection model development.
Resolved edge cases through feedback loops.
Documented process refinements to keep labeling consistent across project phases
Identified and corrected inconsistencies in complex data strings.
Maintained 95%+ accuracy according to project guidelines.
Collaborated with project leads to refine annotation rubrics.
Evaluated and rated search engine results.
Analyzed user intent and query-to-result mapping.
Met strict deadlines and performance benchmarks.
Performed image labeling for computer vision projects.
Categorized visual data to support object detection model development.
Resolved edge cases through feedback loops.
Documented process refinements to keep labeling consistent across project phases
Designed, developed, and deployed AI models using Python and R.
Integrated CI/CD pipelines to streamline production releases.
Improved AI architectures using Python, Docker, and performance-profiling tools.
Increased model inference speed by 15%.
Researched and implemented transformer models and automated feature-engineering pipelines.
Improved model accuracy and expanded system capabilities.
Collaborated with data scientists and product owners to translate business goals into model requirements.
Ensured deliverables matched strategic objectives.
Created governance guidelines and conducted stakeholder reviews.
Supported compliance and business strategy alignment.
Provided AI systems guidance using Python and Snowflake.
Helped teams choose models and deployment strategies.
Implemented audit checks in BigQuery and documented processes to reduce compliance risks.
Worked with data-engineering and product teams to improve AI functionality using Docker containers.
Increased deployment consistency.
Built an AI agent with Python and integrated it into the data warehouse.
Enabled automated decision support.
Used GitHub for version control.
Built an AI agent from scratch based on product requirements.
Integrated CI/CD pipelines to streamline production releases.
Improved AI architectures using Python, Docker, and performance-profiling tools.
Increased model inference speed by 15%.
Researched and implemented transformer models and automated feature-engineering pipelines.
Improved model accuracy and expanded system capabilities.
Collaborated with data scientists and product owners to translate business goals into model requirements.
Ensured deliverables matched strategic objectives.
Created governance guidelines and conducted stakeholder reviews.
Supported compliance and business strategy alignment.
Provided AI systems guidance using Python and Snowflake.
Helped teams choose models and deployment strategies.
Implemented audit checks in BigQuery and documented processes to reduce compliance risks.
Worked with data-engineering and product teams to improve AI functionality using Docker containers.
Increased deployment consistency.
Built an AI agent with Python and integrated it into the data warehouse.
Enabled automated decision support.
Used GitHub for version control.
Built an AI agent from scratch based on product requirements.
Evaluated and ranked AI-generated responses for accuracy, relevance, and tone.
Provided detailed linguistic feedback to improve model performance.
Identified and corrected hallucinations and logical errors in LLMs.
Worked on RLHF tasks and met high-quality benchmarks.
Created original prompts and gold-standard responses for creative writing, coding, and technical reasoning.
Audited responses for human-like flow and consistent AI behavior.
Compared multiple AI outputs using Python scripts and rubrics.
Selected the strongest responses to improve overall output quality.
Trained Large Language Models by providing human feedback and labeling data.
Audited AI outputs for bias and accuracy.
Reduced flagged bias incidents by 15%.
Met production targets while maintaining high accuracy.
Built nuanced evaluation frameworks from large datasets and task guidelines.
Provided detailed linguistic feedback to improve model performance.
Identified and corrected hallucinations and logical errors in LLMs.
Worked on RLHF tasks and met high-quality benchmarks.
Created original prompts and gold-standard responses for creative writing, coding, and technical reasoning.
Audited responses for human-like flow and consistent AI behavior.
Compared multiple AI outputs using Python scripts and rubrics.
Selected the strongest responses to improve overall output quality.
Trained Large Language Models by providing human feedback and labeling data.
Audited AI outputs for bias and accuracy.
Reduced flagged bias incidents by 15%.
Met production targets while maintaining high accuracy.
Built nuanced evaluation frameworks from large datasets and task guidelines.
Evaluated task submissions for research and LLM training.
Used Python scripts and detail checks to ensure submissions met quality standards.
Ensured quality assurance, guideline fidelity, and structured feedback.
Achieved standards for accuracy, clarity, safety, and compliance.
Applied consistent judgment across different task types and domains.
Followed documented rubrics to reduce subjective bias.
Supported editorial QA through review, auditing, and compliance.
Reviewed submissions against guidelines, rubrics, and policy requirements.
Assessed work for accuracy, completeness, instruction following, safety, privacy, content standards, consistency, and logical reasoning.
Used Python validation scripts to identify errors, omissions, and guideline deviations.
Reduced review rework and improved dataset accuracy.
Gave clear, actionable written feedback to help contributors improve.
Used Python scripts and detail checks to ensure submissions met quality standards.
Ensured quality assurance, guideline fidelity, and structured feedback.
Achieved standards for accuracy, clarity, safety, and compliance.
Applied consistent judgment across different task types and domains.
Followed documented rubrics to reduce subjective bias.
Supported editorial QA through review, auditing, and compliance.
Reviewed submissions against guidelines, rubrics, and policy requirements.
Assessed work for accuracy, completeness, instruction following, safety, privacy, content standards, consistency, and logical reasoning.
Used Python validation scripts to identify errors, omissions, and guideline deviations.
Reduced review rework and improved dataset accuracy.
Gave clear, actionable written feedback to help contributors improve.
Performed end-to-end exploratory testing on mobile and web applications.
Identified functional defects before public release.
Wrote clear bug reports with reproduction steps, screenshots, and crash logs.
Worked with global testing teams to verify software across different systems.
Evaluated UI and UX for digital products.
Provided feedback to improve navigation and accessibility.
Executed test cases and regression suites.
Verified that new features did not break existing functionality.
Tested localized content and features for different geographic markets.
Tracked defect trends and identified recurring issues using data analysis.
Contributed to process improvements and stronger software stability.
Identified functional defects before public release.
Wrote clear bug reports with reproduction steps, screenshots, and crash logs.
Worked with global testing teams to verify software across different systems.
Evaluated UI and UX for digital products.
Provided feedback to improve navigation and accessibility.
Executed test cases and regression suites.
Verified that new features did not break existing functionality.
Tested localized content and features for different geographic markets.
Tracked defect trends and identified recurring issues using data analysis.
Contributed to process improvements and stronger software stability.
Developed and deployed a full-stack web application in an agile environment.
Transitioned from technical training to project delivery quickly.
Optimized backend performance by writing clean, modular Java code.
Improved data processing speeds for the final team project.
Collaborated in daily scrums to troubleshoot bottlenecks.
Helped the team meet sprint milestones and prepare for stakeholder presentation.
Completed an intensive 12-week program covering Java, SQL, and React.
Built scalable software solutions using the modern tech stack.
Designed and implemented database schemas for complex user data.
Ensured smooth integration between frontend and database.
Participated in code reviews and fixed bugs early in development.
Integrated third-party APIs to improve application functionality and user experience.
Transitioned from technical training to project delivery quickly.
Optimized backend performance by writing clean, modular Java code.
Improved data processing speeds for the final team project.
Collaborated in daily scrums to troubleshoot bottlenecks.
Helped the team meet sprint milestones and prepare for stakeholder presentation.
Completed an intensive 12-week program covering Java, SQL, and React.
Built scalable software solutions using the modern tech stack.
Designed and implemented database schemas for complex user data.
Ensured smooth integration between frontend and database.
Participated in code reviews and fixed bugs early in development.
Integrated third-party APIs to improve application functionality and user experience.
Computer Science
- 🇬🇧 English
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