Pfizer Externship via ExternJunior at UIUC studying Industrial Engineering, gaining hands-on experience through a Pfizer externship in AI-powered document insights.
Portfolio of academic projects and externship deliverables, focused on AI-powered document insights, data extraction workflows, and applied engineering thinking.
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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.
Junior at UIUC studying Industrial Engineering, gaining hands-on experience through a Pfizer externship in AI-powered document insights.
I am Deeya Patel, a junior Industrial Engineering student at the University of Illinois Urbana Champaign pursuing a bachelor's degree. I have limited professional experience and am building practical skills through a Pfizer externship focused on AI-powered document insights and data extraction.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
In progress
Experience
Data and Process Improvement Intern
GE Healthcare · May 2026-August 2026
Operations Engineering Intern
Zschimmer and Schwarz · June 2025-July 2025
Education
University of Illinois at Urbana-Champaign, Grainger College of Engineering
Bachelor of Science, Industrial Engineering · Class of 2028
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 work evaluated methods for extracting structured data and insights from enterprise PDFs, combining OCR, embeddings, and LLM prompts to prototype automated document workflows. The project documented model choices, data pipelines, and example outputs produced during the prototypes.
I examined a sample vendor file and identified Compliance Bulletins, Safety Data Sheets, and Quality Information, noting varied date formats and older documents and flagging date parsing and graph extraction as likely issues for AI processing.
I examined a sample vendor file, identified Compliance Bulletins, Safety Data Sheets, and Quality Information, noted varied date formats and older documents, and flagged date parsing and graph extraction as likely issues for AI processing.
