A resume header takes up little space, but it has a specific job: to identify you, give employers reliable ways to contact you, and provide useful professional information without unnecessary detail.
Fresh graduates sometimes include too much information: a full street address, date of birth, marital status, several links, or a generic career statement. Others use an old, informal email address or repeat information that already appears elsewhere.
Large language models (LLMs) can help review these details systematically. The most useful approach is to begin with a general evaluation and then give the LLM narrowly defined refinement tasks. Instead of asking it to “improve my header,” you can ask it to evaluate only the email address, location, personal information, professional links, or redundancy.





