Raleigh Butler’s Resume

Phone: (615) 848-4401  |  Email: raleigh@me.com  |  

LinkedIn: https://www.linkedin.com/in/raleigh-anne-butler/

Professional Summary

Natural Language Processing (NLP) Researcher and AI Linguistics / Alignment Specialist with expertise in sentiment analysis, LLM development, and multilingual model optimization. Currently conducting AI alignment research through computational linguistics and sentiment analysis, with focus on detecting emotional misalignment in AI systems. Demonstrated success in scaling AI research teams and implementing systematic approaches to language model development and safety evaluation. Track record of leading initiatives in sentiment analysis, linguistic research, and NLP-driven solutions at Meta and Google, with proven ability to bridge technical and linguistic domains.

Skills 

AI/ML Technologies: Natural Language Processing (NLP), Computational Linguistics, Language Model Development, Large Language Models (LLMs), LLM Development, Prompt Engineering, Sentiment Analysis, Text Analytics, Machine Learning Operations (MLOps), Model Evaluation, Model Fine-tuning, Transfer Learning, Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), AI Research Methodologies, Data Analytics, Statistical Analysis

Technical Skills: Python (NLTK, spaCy, Transformers, NumPy, Pandas, Matplotlib, Seaborn), SQL, HTML, Research Design, Data Collection, Statistical Analysis, Version Control, Documentation, Technical Writing, Slack, LaTeX, Overleaf, Linear Algebra, Bayesian methods, Gaussian methods, Probability Theory

Languages & Communication: Multilingual NLP: French Language Family Expertise, Dialects: Parisian, Canadian, Haitian, Cameroonian French, Cross-cultural Communication, Technical Documentation, Research Paper Writing, Technical Documentation

Core Competencies: Prompt Engineering, Technical Writing, Research Design, Team Leadership, Project Management, Multilingual AI Development

Experience
Argonne National Labs – Collaborator
May 2025 –  Present

• Build and tune neural networks from scratch using Python
• Work with neural networks to analyze and find complex patterns in scientific data
• Work with large amounts of data on LLMs, supercomputers, and local networks
• Use Support Vector Machines (SVM), Bayesian methods, and Gaussian methods, and probability theory in data analysis
• Conduct AI-based research for computational biology research on neurodegenerative diseases

SentiMentality – Founder, Research Coordinator, and AI Sentiment / Alignment Researcher
December 2024 –  Present

• Established an AI research company specializing in sentiment analysis and emotion recognition using transformer-based models
• Conduct research on emotional alignment between AI systems and human values through sentiment analysis
• Use sentiment analysis tools such as LIWC, SALLEE, BERT, TextBlob, and VADER
• Investigate how sentiment detection can identify potential misalignment in LLM outputs
• Develop sentiment analysis frameworks for detecting harmful or misaligned AI-generated content
• Lead a team of 20 researchers in developing novel approaches to NLP-based sentiment analysis
• Publish pioneering research in sentiment analysis methodology
• Implement MLOps practices for efficient research workflow management
• Develop comprehensive testing frameworks for model evaluation and validation

Meta via TEKsystems – GenMoney AI Scaler and Organizer
September 2024 –  April 2025

• Architected scalable systems for AI model deployment and monetization
• Implemented systematic approach to LLM scaling, focusing on efficiency and performance metrics
• Developed data analysis frameworks for model performance evaluation
• Onboarded and trained new team members

Meta via TEKsystems – French Team Member

September 2024 – November 2024

• Enhanced Llama LLM performance across multiple French dialects including Parisian, Canadian, Haitian, and Cameroonian French
• Developed multilingual testing frameworks achieving 33% output in French-related training
• Maintained communication between technical teams and B2B stakeholders

Meta via TEKsystems – Second in Command of AI Linguistics Research Team

June 2024 – September 2024

• Co-founded and led research initiatives focusing on multilingual LLM development
• Spearheaded publication of research papers on language model adaptation to training efforts
• Developed cross-lingual evaluation metrics for LLM performance assessment
• Communicated regularly with team members, members of other teams, upper-management employees, and B2B POCs

Google via GlobalLogic – AI Linguistics Think Tank Founder & Department Head

February 2024 – May 2024

• Single-handedly founded and structured AI linguistics research division
• Led research initiatives for Gemini chatbot enhancement for a group of 10 specialized researchers
• Implemented systematic approaches to prompt engineering and model evaluation
• Established frameworks for B2B communication and deliverable management

Google via GlobalLogic – AI Minister of Quality & Project Manager 

January 2024 – April 2024

• Led 100+ member team in prompt engineering for Gemini chatbot development
• Established quality metrics for prompt evaluation and optimization
• Developed systematic approaches to prompt testing and validation
• Managed stakeholder communications and project deliverables
• Conducted red team assessments for AI system security and reliability

Google via GlobalLogic – Senior Editor 

September 2023 – January 2024

• Led 110+ member prompt engineering team
• Developed comprehensive style guide for AI prompt engineering
• Scaled department operations by 500% (18 to 110+ members)
• Established quality control processes for prompt development

Independent Science and AI Writing – Technical Writer & Prompt Engineer

April 2022 – September 2023

• Developed technical documentation for AI systems and implementations
• Created and optimized prompts for various LLM applications
• Produced technical content focusing on generative AI developments
• Established best practices for AI documentation and prompt engineering

CMSWire – Editorial Team Member

April 2022 – September 2023

• Developed articles with a focus on modern media, technology, and generative AI 
• Conducted interviews, researched material, wrote articles, and maintained the website (using Python, HTML, and CSS)

National Center for Supercomputing Applications – Science Writer

August 2021 – August 2022

• Developed articles on highly technical topics for a lay audience 
• Conducted editing work and proofreading work for peers 
• Involved in all steps of publication process – researching, interviewing, writing, and editing 

Additional Experience

Case Western Reserve University – Pharmacology Research Intern

Summer 2019

• Conducted diabetic retinopathy research using live cell analysis, PCR machinery, and clinical laboratory techniques
• Gained hands-on experience with medical terminology, clinical research protocols, and healthcare data analysis

Education

• University of Illinois, Urbana-Champaign, IL – M.S. in Journalism
• Middle Tennessee State University, TN – Post-grad in various STEM courses
• University of Tennessee, Knoxville, TN – B.A. double major in Linguistics & French; minor in Political Science

Awards

• Google Foobar Invitée, 2023 
• UIUC Creative Feature Article award winner, 2022
• Fulbright semi-finalist, 2017-2018 season

References Available upon Request