Pfizer Externship via ExternI'm a Behavioral Nueroscience senior looking towards attaining my MBA postgrad. I have experience in HR and Business development in the health sector, research experience, and clinical admin work.
Projects and experiences from my senior-year studies and related practical work, showing skills I built while studying neuroscience at Rutgers.
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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.
I'm a Behavioral Nueroscience senior looking towards attaining my MBA postgrad. I have experience in HR and Business development in the health sector, research experience, and clinical admin work.
I am Daniel Chihuan Meza, a senior neuroscience student at Rutgers University pursuing a bachelor's degree. I have some practical work experience and I'm exploring how neuroscience connects with real-world problems as I prepare to start my career.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
In progress
Experience
Human Resources and Business Development Intern
Wellcare Nurses and Staffing · June 2026 - August 2026
Part-Time Student Medical Assistant
Dr. Sujatha Muppala: Priority Health Associates · July 2022 – March 2023
Research Assistant
The Child Study Center at Rutgers · Sep. 2024 - Sep. 2025
Education
Rutgers University
B.A. Neuroscience and Behavior and B.A. Psychology · Class of 2027
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 built a prototype pipeline that combined OCR, retrieval-augmented generation, and large language models to extract structured data from enterprise PDFs. The work reviewed LLM fundamentals, implemented document ingestion and retrieval components, and produced example outputs showing extracted fields and model responses.
I produced a technical explanation comparing LLMs to a developing brain, described neural network weights, and illustrated how transformer attention maps inputs to outputs, linking those concepts to document-processing design.
I described LLMs using a brain analogy, explained neural network weights and learning, and summarized how transformers process all inputs simultaneously to produce model outputs.
