Pfizer Externship via Extern
Pfizer Externship via ExternRutgers CS student focused on SQL and database architecture, learning practical data design through an externship with Breaking Games.
Portfolio of coursework and externship work centered on SQL, database architecture, and data modeling from my Breaking Games externship and university projects.
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.
Rutgers CS student focused on SQL and database architecture, learning practical data design through an externship with Breaking Games.
I am Ayaan Ansari, a junior studying Computer Science at Rutgers University pursuing a BS. I have worked on student technology projects and nonprofit media and education programs, and I build tools and workflows with Java, Python, Git and VS Code. I completed externships focused on AI-powered document intelligence, including a Pfizer externship, and I have experience editing video for social creators.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
In progress
Experience
Pfizer, via Extern · Sep '26 - Nov '26
Student Consultant
Rutgers Office of Information Technology (OIT) - Technology Services · Aug '25 - Jan '26
Instructional Media Designer
Akhuwat - Nonprofit for Underprivileged Children's Education · Sep '21 - May '22
Intern
First UK - Nonprofit for Underprivileged Robotics Programs · June '23 - July '23
Student Leader
Estée Lauder Companies Bryn Mawr - Executive Leadership Development Program · June '25 - June '25
Lead Video Editor
Video Editing for Various Leading Social Media Content Creators · Aug '19 - Aug '25
AI-Powered Document Intelligence Extern
Education
Rutgers University - New Brunswick
Computer Science (BS) · 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 externship explored AI-driven document intelligence for enterprise PDFs, combining OCR, large language models, and retrieval-augmented generation. The work mapped common PDF workflow steps and prototyped model-led approaches for text extraction and contextual query. Deliverables included research notes and explained model behavior.
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I produced research notes that explained how large language models learn from corpora, apply transformer attention, train via token prediction and error-driven updates, and are fine-tuned to improve outputs.
I explained that large language models learned from massive text corpora, used transformer attention to model token relationships, trained by predicting next tokens and updating on errors, and were fine-tuned afterward to produce more useful, natural responses.
