Currently an Extern @Pfizer·🟢 Open to work
I prototype AI document tools that combine OCR, LLMs, and retrieval to automate PDF workflows and turn messy files into structured data.
Portfolio includes a Pfizer externship prototype using OCR, LLMs, and RAG to extract insights from enterprise PDFs and automate document workflows.
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Pfizer · ✅ 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.
Built a full-stack cloud storage application using React, Node.js, Express.js, and SQL. Implemented secure file upload, storage, and user management features. Used Git for version control and collaborative development.
I prototype AI document tools that combine OCR, LLMs, and retrieval to automate PDF workflows and turn messy files into structured data.
I am a senior at Indiana Wesleyan University working toward a bachelor’s degree. I have some practical project experience and I'm building a portfolio focused on applied AI tools for real-world documents, including an externship project with Pfizer.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
Pfizer
Experience
Receptionist
CDC Tax · 2024–Present
Server
Yolk · 2021–2024
Bartender
Sugar Factory · 2018–2020
Education
Indiana Wesleyan University
Bachelor of Science in Healthcare Administration
Kenzie Academy
Diploma in Full Stack Software Development
Skills
✅ 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 project prototyped AI-powered document intelligence for enterprise PDF workflows, combining OCR, large language models, and retrieval-augmented generation. The work produced a unified technology reference, OCR design notes, and prototype artifacts for automated document extraction and question-answering. Deliverables included a written summary of how large language models process text and how
I summarized how large language models predict tokens based on large text corpora, described their token-based prediction process, and documented the role of human feedback in refining model suggestions.
I summarized how large language models trained on large text corpora learned patterns to predict next words, described their token-based prediction process, and noted that human feedback helped refine future suggestions.
Built a full-stack cloud storage application using React, Node.js, Express.js, and SQL. Implemented secure file upload, storage, and user management features. Used Git for version control and collaborative development.