I spent some of my free time in college researching how recruiters actually evaluate resumes. I went through resume reviews by recruiters, looked at resumes of students who landed internships, and compared what made them stand out. Here are a few patterns I noticed: • Projects matter far more than collecting certificates. • Build fewer projects, but make them meaningful. One well-engineered project is more valuable than several basic CRUD applications. • Recruiters care more about the problem you solved than the technologies you used. • Every bullet point should answer: What did you accomplish? How did you do it? What impact did it have? • If your application is deployed, mention it. It shows you understand software beyond running it locally. • Only list skills you're genuinely comfortable discussing in an interview. • Tailor your resume to the role. An AI/ML resume shouldn't look the same as a full-stack resume. • Keep the design clean and ATS-friendly. Fancy graphics won't compensate for weak content. • Don't lie. You can improve wording and present your work professionally, but fabricated experience, skills, or achievements will eventually catch up with you. One framework that kept appearing across recruiter advice was: Accomplished [X] as measured by [Y] by doing [Z] It shifts your focus from listing responsibilities to communicating impact. I'm still learning, but I found these insights useful and thought I'd share them. If you've come across other resume tips that genuinely helped, feel free to share them.