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Case study · Gwee Per Ming
Career Ops
An agentic job-search workflow I use to move from role discovery through evaluation, application tailoring, follow-ups, and interview preparation.
My role: Contributor and operator, not the original creator
The problem
A job search spans repeated decisions and handoffs. I wanted a workflow grounded in my profile and CV, while keeping a human review at consequential decision points.
My contribution
Used the workflow to manage role discovery, evaluation, application tailoring, follow-ups, and interview preparation. Contributed changes for analytics and progress views and assessment-stage follow-up controls, incorporating CodeRabbit and maintainer feedback.
Architecture and stack
Agentic workflows grounded in profile and CV context, with human review at key gates. My contributions use Go and TypeScript with automated CI and AI-assisted code review.
- Go
- TypeScript
- Agentic workflows
- CodeRabbit
- CI/CD
What runs today
Used in my active job-search workflow. The analytics/progress and assessment follow-up contributions are open pull requests, not merged features.
Outcome
Self-reported: a 6× gain in job-search efficiency and outcomes while using the workflow.