Resume Tailor uses a job description to suggest changes to a resume, then generates a formatted PDF for email delivery.
What it does
Upload a resume and a job description. The AI proposes wording tailored to the role, and a background job generates a PDF and sends it by email. The applicant still needs to review the wording for accuracy.
Hardest challenge
The request spans a web client, Express services, an SQS queue, a Lambda PDF job, storage, and email delivery. Each handoff needs to preserve the user’s resume and job context while the longer-running work continues outside the original request.
Technical highlights
- AWS microservice architecture: Cognito auth, SQS-triggered Lambda for PDF generation, S3 storage, DynamoDB
- Customer.io transactional emails for delivery
- Paystack payments for the Nigerian market
- Next.js frontend deployed on Vercel
- Node.js API on Elastic Beanstalk
Lessons learned
Long-running document work belongs outside the web request. Separating generation from the interface makes the system easier to scale, but each queue and storage handoff needs clear ownership and observable status.
Evidence and status
Public source includes the web app, Express services, and the SQS-triggered PDF and email pipeline.