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Ahmed Abdalkhaliq portrait

AI student building practical people-analytics skills

Thinking like an engineer and solving like an artist!

Work samples

Portfolio items focus on extracting insights from employee data, building personas, and proposing strategies to reduce early turnover and improve onboarding outcomes.

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

About me

Thinking like an engineer and solving like an artist!

I am Ahmed Abdalkhaliq, a third-year bachelor's student focused on artificial intelligence. I have limited formal work experience and am building practical skills through project-based externships, including an Amazon Operational Strategy and People Analytics externship where I worked with employee review data to recommend persona-driven retention strategies.

Externships

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

In progress

Education

University of Basrah

Bachelor of science, Petroleum Engineering · Class of 2027

Skills

Web scrapingText data analysisPersona developmentPeople analytics conceptsBasic operational strategyAICanvaChatGPTClaudeData AnalysisExcelGitGoogle ColabGoogle GeminiGoogle SheetsLLMsMachine LearningOCRPandasPower BI

✅ 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 externship worked on prototyping AI-powered document intelligence for enterprise PDFs, combining OCR, retrieval-augmented generation, and LLM techniques. The work surveyed LLM fundamentals and applied them to design components of an automated document-extraction pipeline.

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

What I've accomplished

I documented how LLMs process text end-to-end, showing tokenization, embedding conversion, and next-token probability generation as applied to pharmaceutical documents.

Project breakdown

The submission described how LLMs tokenized input into tokens, converted tokens to embeddings, and generated output by predicting next tokens step by step using probability scores.

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