Currently an Extern @Pfizer
Aspiring Organic Chemist | Developing RAG & Document Intelligence Solutions
UC Davis chemistry undergraduate and AI developer combining organic synthesis expertise with custom RAG workflows to innovate data-driven scientific research
Work samples
Explore my journey into artificial intelligence: how I went from writing my first lines of code to building intelligent document retrieval systems and RAG workflow.
About me
UC Davis chemistry undergraduate and AI developer combining organic synthesis expertise with custom RAG workflows to innovate data-driven scientific research
I currently study chemistry at UC Davis, managing both research about lipid nanoparticles and interest in patent law. Recently, I've gained interest in AI and machine learning, so I took initiative in participating in an innovative externship focused on AI-powered document insights.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
Pfizer
Experience
Undergraduate Researcher
UC DAVIS, FRANZ LAB · Sep 2025 – Present
Vice President
KOREAN AMERICAN STUDENT ASSOCIATION (KASA), UC DAVIS · Sep 2025 – Present
Shift Lead
TOMO TEA HOUSE · Sep 2025 – Present
Professional Development Associate
DAVIS PRE-LAW SOCIETY · Jun 2026 - Jun 2027
Head of Marketing Strategy, Head of Research, Project Manager
CODOLOGY · Oct 2022 – Jul 2024
Researcher
ASDRP, NJOO LAB · Jun 2023 – Jun 2024
Education
UNIVERSITY OF CALIFORNIA, DAVIS
Bachelor of Science in ACS Chemistry; Minor in Political Science · Class of 2028
Skills
✅ Verified by Extern
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
Overview
The externship prototyped AI document intelligence for pharmaceutical PDFs, documenting tokenization and Transformer context, cleaning structured and scanned-image data, extracting text and bounding boxes with PyMuPDF, comparing OCR engines, and building a LlamaIndex RAG chatbot. Deliverables included runnable Colab notebooks, processed images, extraction artifacts, OCR comparison results, and
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What I've accomplished
Produced runnable Colab notebooks and artifacts: explanatory notes on tokenization and Transformers, cleaned structured and scanned-image data, extracted field-level text and bounding boxes from multi-page PDFs, compared three OCR engines, and implemented and evaluated a LlamaIndex RAG chatbot with tuned retrieval settings.