Automation Case Study

AI-Powered Resume Automation

How I built an end-to-end automation system that saves 3+ hours daily, and generates a custom resume for each application in under 1 minute

3+ hours saved daily
<1 minute processing
End-to-end automation

Built with modern technologies

JavaScript
Python
OpenAI
Chrome
n8n
Google

See the System in Action

Watch the complete end-to-end process from job posting capture to final resume generation

The Challenge

Post-MBA Job Search Reality

With 7+ years of experience across industries and functions, I had a strong foundation but faced a critical challenge: that same breadth meant spending hours tailoring my resume for each role. Generic bullets wouldn't cut it in today's competitive market.

Manual Resume Tailoring

Hours spent customizing bullets, rearranging content, and formatting for each application

Existing Tools Inadequate

Apps like Simplify had poor resume tailoring; AI editors were clunky and inaccurate

Document Formatting Nightmare

LLMs excel at content but struggle with clean Word document formatting

Manual resume tailoring at 2:13AM with multiple screens, papers, and a frustrated job seeker
Before: Manual Process

Solution Architecture

A three-component system combining Chrome extension, AI agent, and document automation

System Architecture

Chrome Extension → n8n Workflow → AI Agent → Google Apps Script → Google Drive

Chrome Extension

INPUT

n8n Workflow

AUTOMATION

AI Agent

AI PROCESSING

Google Apps Script

FORMATTING

Google Drive

OUTPUT

Chrome Extension

One-click job data capture directly from job posting pages

Chrome extension capture demo
JavaScript
Chrome API
Google Sheets

n8n Automation

Orchestrates the entire workflow from trigger to final output

n8n workflow automation demo
Webhooks
API Calls
Automation

AI Resume Agent

6-step intelligent process for perfect resume tailoring

AI Resume Agent 6-step process demo
Python
OpenAI API
STAR Format

The 6-Step AI Process

1

Extract Job Priorities

AI analyzes job description to identify key requirements, skills, and priorities using natural language processing

NLP Analysis Keyword Extraction
2

Match Relevant Achievements

System maps job requirements to relevant experiences from my background using semantic similarity

Semantic Matching Experience Mapping
3

Score & Rank Bullet Points

AI scores each bullet point by relevance and alignment with job requirements using weighted algorithms

Relevance Scoring Priority Ranking
4

Rewrite in STAR Format

Converts achievements into compelling STAR format bullet points with quantified impact metrics

STAR Framework Impact Quantification
5

Generate Summary & Skills

Creates tailored professional summary and optimized skills section aligned with job requirements

Content Generation Skills Optimization
6

Export Structured Output

Outputs clean, structured JSON data ready for Google Apps Script document formatting and generation

JSON Export Data Structuring

Results & Impact

Quantified improvements in efficiency and application quality

3+
Hours Saved Daily
From manual tailoring to automated process
<1
Minute Processing
Complete resume customization time
100%
Consistency
Every resume feels crafted, not copied

Technical Implementation

Technology Stack

Chrome Extension
Vanilla JS + Chrome APIs
n8n Workflow
No-code automation
AI Agent
Python + OpenAI API
Document Generation
Google Apps Script

Key Technical Decisions

Why Google Docs over Word?

Google Apps Script provided cloud-based automation capabilities that VBA macros couldn't match, enabling remote triggering and better integration.

Why n8n for Orchestration?

n8n's visual workflow builder and extensive integrations made it perfect for connecting Chrome extension → AI agent → document generation.

Deterministic AI Design

Structured the AI agent with clear steps and validation to ensure consistent, reliable outputs rather than unpredictable creative generation.

Key Learnings

What Worked

Deterministic AI Design

Structured processes with clear steps ensure consistent, reliable outputs

Cloud-First Architecture

Google Apps Script enabled remote automation without local dependencies

User-Centric Design

One-click extension UX made the system actually usable in daily workflow

Future Improvements

Auto Job Detection

Automatically identify job postings on pages without manual clicking

Multi-Format Support

Generate resumes in multiple formats (PDF, LaTeX, HTML) simultaneously

Analytics Dashboard

Track application success rates and optimize content based on performance

Want to Build Something Similar?

This system demonstrates how to architect AI-powered solutions that solve real business problems. Interested in collaborating or building your own automation?

Schedule a Discussion

Get in touch: [email protected]