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Chukwudi Chidubem portrait

Graduate student in AI, building document insight tools

AI-focused graduate student who completed an Outamation externship in document insights and data extraction.

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Work samples

Portfolio of work from my Outamation externship and related AI projects, showing approaches to document parsing, data extraction, and insight generation.

  • Wayfair n8n AI Agent Engineering Externship
    Wayfair logo

    Wayfair · ✅ Verified by Extern · ⏱️ In progress

    Wayfair n8n AI Agent Engineering Externship

    Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.

    AI Workflow DesignAI Agent DevelopmentPresentation SkillsWeb Scraping & Data Extraction
  • The Android App Market on Google Play Store
    The Android App Market on Google Play Store

    Conducted in-depth exploratory data analysis of the Android app market dataset, delving into app categories, ratings, reviews, sizes, and other essential features. The project extracted valuable insights by utilizing powerful visualizations and statistical summaries, allowing developers to identify trends and capitalize on lucrative opportunities. Analyzed user reviews to understand app sentiments, leveraging sentiment analysis to reveal user feedback and sentiments.

About me

AI-focused graduate student who completed an Outamation externship in document insights and data extraction.

I am Chukwudi Chidubem, a graduate student focused on artificial intelligence. I completed the Outamation Advanced AI-Powered Document Insights and Data Extraction externship, where I worked on AI methods for extracting and analyzing document data.

Externships

Wayfair n8n AI Agent Engineering Externship

Wayfair

Experience

Software Engineering Intern

Zone · December 2024–March 2026

Prompt Engineer

Tuteria · September 2023–November 2023

Electrical and Electronics Engineering Intern

Shell Petroleum Development Company · April 2023–September 2023

Enterprise Network Intern

Tenece Professional Services · July 2022–September 2022

Software Engineer Intern

Pyrich Group Limited · March 2022–April 2022

Education

Covenant University

Bachelor of Engineering: Electrical and Electronics Engineering

Christ the King College

Senior Secondary School

Skills

Artificial intelligenceDocument data extractionDocument parsingData analysisModel evaluation
Back to work
Wayfair ↗

✅ Verified by Extern · ⏱️ In progress

Wayfair n8n AI Agent Engineering Externship

Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.

AI Workflow DesignAI Agent DevelopmentPresentation SkillsWeb Scraping & Data Extraction

Overview

The externship introduced agent design using n8n and worked with workflows that integrate AI decision-making and automation. The work involved installing and configuring n8n, connecting basic nodes, and assembling an initial agent flow. The final deliverable included a running n8n instance and a functioning agent workflow.

Wayfair n8n AI Agent Engineering Externship

What I've accomplished

I produced two complete moodboard prompts (Modern Pop Art Rug, Arts and Crafts rug) from n8n prompt templates and documented a comparison between the generated outputs and my intended prompts.

Project breakdown

During the Build Your First Prompt Node task, I created prompt templates and ran the agent to produce two full moodboard prompts (Modern Pop Art Rug, Arts and Crafts rug). I compared the generated prompts to my intents and noted where they matched.

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The Android App Market on Google Play Store

Conducted in-depth exploratory data analysis of the Android app market dataset, delving into app categories, ratings, reviews, sizes, and other essential features. The project extracted valuable insights by utilizing powerful visualizations and statistical summaries, allowing developers to identify trends and capitalize on lucrative opportunities. Analyzed user reviews to understand app sentiments, leveraging sentiment analysis to reveal user feedback and sentiments.

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Cluster Analysis of Breast Cancer

Leveraged advanced unsupervised learning techniques, employing the K-means clustering algorithm, to conduct a comprehensive breast cancer analysis. Interpreted and visualized cluster analysis results, utilizing Python's machine learning libraries and cluster validation techniques such as the elbow method and silhouette analysis.

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Automation of Credit Card Approvals

Conducted preprocessing of the Credit Card Approval dataset, including handling missing entries, feature transformation, and data normalization. Implemented Logistic Regression and explored various supervised learning algorithms to build a credit card approval prediction model, evaluating performance using accuracy, precision, recall, and F1 score with cross-validation.

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AI-powered Tutor Profile Generator

Engineered an AI-driven system using OpenAI's GPT-4 model to generate persuasive tutor profiles autonomously. Integrated GPT-4 API, enabling dynamic conversation simulations and personalized profile creation, and designed a conversational framework generating 2-4 paragraph tutor pitches.

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