ApplyMonkey
AI-driven Job Application Automation Platform
About This Project
Built an end-to-end job automation platform featuring Next.js marketing and dashboard apps, a Plasmo-powered browser extension, and an AI backend for resume tailoring, cover letter generation, and auto-submit workflows.
Problem
Job seekers were wasting hours tailoring applications across disparate job boards and ATS portals, often missing deadlines or submitting generic resumes that failed keyword screening.
Solution
Built an AI-assisted workflow spanning dashboard, browser extension, and Python microservices. Centralized resume intelligence, automated form filling, and integrated OpenAI-powered copy generation so users submit tailored applications in minutes.
Project Goals
- Automate repetitive job application tasks while keeping users in control
- Provide ATS-aware resume tailoring and cover letter generation on demand
- Roll out a reliable auto-apply extension that works across major job boards
Key Achievements
- Delivered unified auth/session stack across Next.js dashboard and Plasmo extension with shared tokens
- Implemented resume parsing and cover letter generation pipeline using OpenAI with guardrails for tone and length
- Deployed Python worker fleet on AWS Lambda handling 10k+ application automations per week with retry logic
Key Features & Highlights
Project Info
Productivity
Web Application
Founding Full-Stack Engineer
5 cross-functional contributors
Ongoing
Live & Active
Technologies
Contributions
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