Pfizer Externship via Extern·🟢 Open to work
I'm starting my career journey, learning practical skills and building portfolio work while I complete my bachelor's.
A collection of coursework, personal experiments, and beginner projects that show what I am learning and the skills I'm developing as I start my career.
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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 starting my career journey, learning practical skills and building portfolio work while I complete my bachelor's.
I am Maks Pająk, a first-year bachelor's student beginning my studies and exploring career directions. I have limited formal work experience and I am building skills and projects as I learn.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
In progress
Experience
Freight Forwarder and Workshop Manager (Summer Job)
G2 Transport Sp. z o.o. · Jul 2022 – Aug 2026
Education
I Liceum Ogólnokształcące im. Króla Kazimierza Wielkiego | Bochnia, Poland
High School Diploma – Mathematics & Computer Science · Class of 2026
Syddansk Universitet Vejle | Vejle, Denmark
BSc. in Artificial Intelligence
Cyber-Mil - 3-Year Programming & Cybersecurity Course Funded by the Polish Ministry of National Defence
Courses · Class of 2025
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 techniques for extracting and structuring information from PDF documents, combining OCR, computer vision, and language models. Work covered foundational AI concepts, image-to-text pipelines, and the specific documentation practices used in pharmaceutical vendor management. Deliverables documented models and methods for automating document intake and extraction.
I produced a documented explanation of large language models and the Transformer architecture, detailing how they process whole prompts to capture long-range context and enable coherent text and code generation.
I described LLMs as generative AI trained on large text corpora, explained the Transformer architecture and how it processes whole prompts to capture long-range context, and summarized how that enables coherent text and code generation.
