<Aspiring_Computer_Scientist_on_a_Journey>

/* I'm a junior computer science student eager to build my skills and stand out in the tech industry. Let's innovate together! */

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Currently an Extern @Pfizer

<Work_samples>

Explore my portfolio featuring innovative projects, including AI-powered document intelligence developed during my externship at Pfizer.

  • Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
    [01]Pfizer Externship⏱️ In progress
    Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

    ✅ 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.

    AI & MLPythonDocument IntelligencePresentation Skills

<About_me>

I'm a junior computer science student eager to build my skills and stand out in the tech industry. Let's innovate together!

I am a junior pursuing a Bachelor's degree in Computer Science at Grand Canyon University. With limited work experience, I am focused on strengthening my resume and enhancing my competitiveness for future jobs and internships. My recent externship at Pfizer allowed me to prototype AI-powered document intelligence, combining innovative technologies to automate complex workflows.

Externships

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

In progress

Experience

Applied AI Engineering Extern

Paychex · September 2026 - Present (1 month)

Extern

Extern, Pfizer · August 2026 - Present (2 months)

Analytics Engineering Intern

Michael and Son Services · May 2026 - Present (5 months)

Co-Founder & Vice President

Lopes Leetcode · April 2026 - Present (6 months)

AWS Student Builder Campus Leader

Wasserman Next Gen · March 2026 - Present (7 months)

Student Leader - Resident Associate

Grand Canyon University · August 2025 - Present (1 year 2 months)

Behavioral Health Technician

Bright Path Facility · August 2025 - Present (1 year 2 months)

HPC Bootcamp Participant — Distributed LLM Training

Argonne Leadership Computing Facility · August 2026 - August 2026 (1 month)

Program Development Specialist Intern

Grand Canyon Education, Inc. · October 2024 - August 2025 (11 months)

Student Leader - Global Outreach

Grand Canyon University · October 2024 - May 2025 (8 months)

General Worker

Harbert Hills Nursing Home · September 2022 - May 2024 (1 year 9 months)

Education

Grand Canyon University

Bachelor of Applied Science - BASc, Computer Science

Harbert Hills Academy

High School Diploma

CodePath

Other, Applied AI Engineering

Skills

AIOCRData ExtractionDocument AutomationComputer SciencePythonMachine Learning

✅ Verified by Extern · ⏱️ In progress

<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.

AI & MLPythonDocument IntelligencePresentation Skills

/Overview

The project prototyped an AI document pipeline combining OCR, LLMs, and retrieval techniques to extract structured data from pharmaceutical PDFs. Work included written summaries of Transformer-style encoding and generation, Colab notebooks that cleaned tabular and JSON data, image preprocessing for OCR, and scripts that parsed multi-page SDFs into JSON with field values and bounding boxes.

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

//What I've accomplished

I produced explanatory notes on how LLMs encode and generate text, delivered runnable Colab notebooks that cleaned tabular/JSON data and preprocessed scanned images, and parsed multi-page SDFs into JSON with extracted fields and bounding-box coordinates.

///Project breakdown

The submission summarized how LLMs encoded inputs into numbers, passed them through parameters (like neural connections), and produced text by predicting the next token repeatedly, describing training by adjusting weights on errors.

The module work described preparing structured data and scanned images for AI. I cleaned tabular and JSON data with Pandas and Python, applied text normalization, and ran image preprocessing (denoising, grayscale, cropping) to improve OCR inputs; deliverables were Colab notebooks and processed…

I processed multi-page SDFs with PyMuPDF to locate fields using bounding boxes and regex. I produced JSON listing dates, vendor names, document types, revision numbers, and a parsed table with rows and cells, including page and bbox coordinates.

View_all_work