This repository contains a collection of prompt templates and example outputs for reviewing, improving, and screening resumes using AI. It is useful for students, job seekers, and recruiters who want to evaluate resume quality, identify gaps, and produce actionable feedback for roles such as software engineering, AI/ML, and product-based hiring.
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AI-ML-DL-LLM-by-deepseek.md
- A prompt focused on AI/ML resume strategy, narrative improvement, and career coaching.
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Multi-Profile-CS-by-claude.md
- A prompt designed for technical resume screening from the perspective of a hiring manager or campus recruiter.
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prompt-raj
- A detailed prompt for evaluating resumes with a MAANG/FAANG-style hiring lens.
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Resume-Feedback-Report.md
- Sample feedback generated for a candidate resume.
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Resume-Feedback-Report-MAANG.md
- A more targeted sample report for MAANG-style evaluation.
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Resume-*.pdf
- Sample resumes used as input for analysis and report generation.
The goal of this repository is to provide reusable prompts that can help you:
- analyze resumes for clarity, impact, and structure
- identify weak sections and missing evidence
- improve bullet points and storytelling
- tailor resumes for specific roles and companies
- simulate recruiter and ATS-style feedback
- Choose a prompt file that matches your target role or company.
- Paste a resume (or attach a resume PDF) into the prompt.
- Run the prompt with an LLM such as ChatGPT, Claude, or DeepSeek.
- Review the generated critique and use it to refine the resume.
- These prompts are meant as starting points and can be customized for your own use case.
- Some files include hiring rubrics for internships, full-time roles, and Tier-1/Tier-2 company screening.
- The outputs should be treated as guidance rather than a substitute for human judgment.
- Resume improvement for internships or full-time roles
- AI-assisted mock recruiter feedback
- ATS and recruiter perspective review
- Career coaching for AI/ML, software engineering, and related fields