How an applicant tracking system reads your resume
When you apply through Handshake, a career fair QR code or a company careers page, your resume usually lands in an applicant tracking system before a recruiter opens it. For your purposes, the software does two jobs. First, it parses the file: it pulls out the text and tries to sort it into fields such as name, email, school, degree, graduation date, employers, job titles and dates. Second, it stores that text so recruiters can search and filter applicants, for example everyone who mentions Excel and SQL and graduates in May 2027.
Parsing is where most trouble starts. A parser works through the page roughly top to bottom and leans on headings it recognizes to decide what each block of text is. If your degree sits in a sidebar, your dates live in a text box or your work history is under a heading like "Where I've Been," the parser can file information in the wrong place or skip it. The recruiter then sees a profile with gaps, and your application may not come up in a search it should have matched.
Search is the second half. Popular internship postings at large employers can draw far more applications than one recruiter can read closely, so many recruiters search for the tools, skills and qualifications named in the job description and skim what comes back. Wording matters here. If the posting asks for "data analysis" and your resume only says "looked at sales numbers," a keyword search has nothing to find.
None of this means a robot quietly deletes your application. Workday, Greenhouse, Lever, iCIMS, Taleo and the many other platforms work differently, and every employer sets them up its own way. Some add screening questions, some rank applicants, many mostly store and search. The practical goal is the same everywhere: a resume that is easy to parse, easy to find and convincing to the person who finally reads it.