Currently an Extern @Pfizer
I prototype practical AI solutions for real documents, using OCR, large language models, and RAG to automate PDF workflows.
Projects center on document intelligence, data extraction, and AI-driven automation. Highlights include a Pfizer externship prototype using OCR, LLMs, and RAG for PDF workflows.
Collaborated with faculty advisor Dr. Brent Reeves to design a full database system (15+ tables, 300+ fields) with 15+ SQL analytical views — translating stakeholder requirements into structured reporting and operational insights across geographic regions.
Collaborated equally with a team to build and evaluate an LLM classification model on Kaggle clinical data — handling data cleaning, model training, and architecture evaluation with full documentation for reproducibility.
I prototype practical AI solutions for real documents, using OCR, large language models, and RAG to automate PDF workflows.
I am a junior Computer Science student at Abilene Christian University pursuing a bachelors degree. I have limited formal work experience and I build technical projects to learn practical skills, including an externship project that used OCR, LLMs, and retrieval-augmented generation to prototype document intelligence workflows.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
Pfizer
Experience
AI Extern
Pfizer · Feb 2026 – Present
Professional Development Student Coach
Abilene Christian University · Aug 2025 – Present
IT Support Assistant
Abilene Christian University — Information Technology · Aug 2024 – Present
Technology Fellow
Bridge2Rwanda · Mar 2023 – May 2024
Education
Abilene Christian University
B.S. Computer Science; BBA Finance · Class of 2028
Skills
Collaborated with faculty advisor Dr. Brent Reeves to design a full database system (15+ tables, 300+ fields) with 15+ SQL analytical views — translating stakeholder requirements into structured reporting and operational insights across geographic regions.
Collaborated equally with a team to build and evaluate an LLM classification model on Kaggle clinical data — handling data cleaning, model training, and architecture evaluation with full documentation for reproducibility.
✅ Verified by Extern · ⏱️ In progress
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
The externship explored building AI-powered document intelligence for enterprise PDFs, combining OCR, LLMs, and RAG components. The work surveyed LLM architectures, evaluation approaches, and integration patterns, then translated those findings into technical guidance for extracting and querying document data. Deliverables included a research brief and implementation notes on LLM behavior and
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I researched core LLM concepts and explained how they behave in document-processing pipelines. Below are the concrete outputs I produced during the externship.