Designed and implemented an AI-powered workflow framework that automates job discovery, fit evaluation, resume tailoring, cover letter generation, and application preparation using structured agent-style review and refinement workflows.
Job applications often require significant manual effort to evaluate role fit, tailor application materials, and prepare for interviews. Maintaining consistency across applications while customizing content for each opportunity can be time-consuming and difficult to scale.
Built a structured AI-powered workflow that transforms Claude into a job application copilot. The system supports profile management, job evaluation, fit scoring, resume tailoring, cover letter drafting, interview preparation, and reviewer-based quality control. The workflow combines reusable prompts, structured evaluation criteria, and iterative review cycles to improve consistency and efficiency throughout the application process.
Reduced the manual effort required to evaluate opportunities and prepare tailored application materials while providing a repeatable framework for job search, application preparation, and interview readiness.