How to Improve Your Resume: 6-Point Upgrade Checklist

A first-draft resume gets you started. A revised resume gets you shortlisted.

Most engineering freshers write one version and submit it everywhere. The fixes below address the most common gaps between a draft resume and one that clears both ATS screening and the 30-second human scan. If you’re building your first resume from scratch, start there. This checklist is for the next step: improving what you already have.

What Makes a First-Draft Resume Fall Short

A resume fails at one of two stages. It either does not clear the automated ATS parser, or it does not hold a human screener’s attention. The two failure modes need different fixes.

ATS failures are structural: wrong formatting, missing keywords, unparseable layouts. Human-screener failures are content failures: vague bullets, no numbers, a weak opening section. The six improvements below address both.

Understanding how employers make hiring decisions reveals that the resume is rarely evaluated in isolation; it is always compared against other resumes in the same pile. That context shifts the question from “is this resume good?” to “is this resume better than the others at this company’s filter?”

Fix 1 — Cut to One Page and Make Every Line Earn Its Place

One page is the default for freshers. Not because screeners are lazy, but because length signals editing discipline. A padded two-page fresher resume suggests the candidate cannot prioritise.

The ruthless test for every bullet: can you defend this line in an interview? If a bullet says “Studied machine learning concepts” and you cannot talk about which concepts, which project, and what you built, cut it. Replace it with one verifiable bullet from an actual project, or leave the space empty.

Sections to audit for length first:

• Career objective. If yours runs more than two lines, cut it to one. Or replace it entirely with a three-line professional summary that names your target role, your strongest skill area, and one concrete result.
• Skills list. Remove skills you cannot demonstrate. “Familiar with Python” when you’ve written 50 lines of Python is honest but not useful. Either build something small enough to put in Projects, or drop the claim.
• Projects. Three to four strong projects beat six weak ones. Keep only the projects you can explain in depth in an interview.
• Positions of Responsibility. One strong role with a quantified outcome beats a list of committee memberships. “Member, NSS” adds nothing. “Led logistics for a 400-person college fest, coordinated 12 volunteers across 3 days” is a real bullet.

Fix 2 — Upgrade Every Bullet with an Action Verb and a Number

The single highest-leverage change in any resume revision is converting passive bullets into active ones with a measurable result. Compare:

• Before: “Responsible for maintaining the project’s GitHub repository”
• After: “Managed version control for a 4-person team; introduced a branch convention that cut merge conflicts across 6 sprint cycles”

Same work. Different impact on the screener. The revised bullet has a team size, a tool, a method, and a result. Each element is something the interviewer can ask a follow-up question about, which is what makes the bullet credible.

Pattern for every bullet: action verb + what you did + scale or result or method.

Action verbs to use:

• Built, Designed, Implemented, Deployed, Automated
• Reduced, Increased, Migrated, Refactored
• Debugged, Tested, Documented, Trained

Weak verbs to replace: Responsible for, Worked on, Helped with, Assisted in, Participated in.

If a bullet genuinely has no number or outcome to add, ask whether the work was significant enough to warrant a line. Sometimes the honest answer is no.

Fix 3 — Run an ATS Keyword Audit on Your Existing Resume

Most freshers write a resume and then tailor their cover letter per company. The more effective approach is the reverse: tailor the resume itself, starting with a keyword audit.

How to audit:

• Copy the job description into a plain-text document.
• Highlight every skill, tool, certification, and responsibility phrase.
• Open your resume and check each item. Does your resume use the same phrase, or a paraphrase that the ATS might not match?
• Update the resume to use the JD’s phrasing where the skill is genuine.

Jobscan offers a free-tier match check: paste your resume text and the JD side by side, and it scores keyword overlap plus flags formatting issues. It’s a two-minute check that catches gaps a manual review misses.

Do this audit once per company, not once per resume version. Your master resume stays comprehensive; your per-application copy adjusts keywords and section order to match each JD.

LinkedIn’s talent research on hiring workflows shows that human screeners spend the first pass evaluating fit against the JD description, not the resume in isolation. The ATS audit directly prepares the resume for both the automated and human passes.

Fix 4 — Remove the Five Sections That Hurt More Than Help

Five resume sections appear frequently on fresher resumes and consistently do more harm than good:

Generic Objective Statements

“Seeking a challenging position in a dynamic organisation where I can utilise my skills” tells the screener nothing about you. If you include an objective, make it specific: name the role, name the technical domain, and name one thing you have already built.

Photographs

Photos add no value to a technical screening process. Most ATS systems ignore embedded images entirely, meaning the photo takes up space without being parsed. For tech and engineering roles in India, leave it out.

Skill Rating Bars or Stars

“Python: 4/5” conveys nothing useful. What does four stars mean? Compared to whom? Replace visual ratings with project bullets that show what you actually built with the tool.

Hobbies and Interests (if generic)

“Cricket, music, reading” is filler. The only hobbies worth including are those that produced a result relevant to the role: “Competitive programming (solved 200+ problems on Codeforces, rating 1450)” is worth keeping. “Music” is not.

References Available on Request

This phrase fills space that your projects could use. Screeners know references exist; they will ask when needed. Drop the line.

Fix 5 — Tighten the Contact Header and File Name

Two small fixes that cost nothing:

• Email: use a professional address, ideally [email protected]. A college email expires at graduation; a public email handles all applications across your search window.
• File name: name the PDF FirstName-LastName-Resume.pdf. Not Resume-Final.pdf, not Resume-v3-updated.pdf. Screeners download multiple resumes; your name in the filename saves them the lookup.

Fix 6 — Proof the Revised Resume Before Every Application Round

One round of proofing covers the document as a whole. Proof again before each major application window because targeted edits introduce new errors.

Three-pass process:

• Pass 1 — ATS check. Use Jobscan or Resume Worded free tier. Paste resume text and the target JD. Fix flagged gaps.
• Pass 2 — Read aloud. Every awkward phrase surfaces when spoken. Where you stumble, rewrite.
• Pass 3 — Cold read. Ask someone who did not help write the resume to scan it for 30 seconds. Their first reaction approximates the screener’s.

Check consistency across the document before submitting: date format (either “Jun 2025” everywhere or “June 2025” everywhere, not mixed), heading capitalisation, bullet punctuation (either every bullet ends with a period or none do, not a mix).

What an AI Project Does to Your Resume in 2026

The upgrade principles above (specific action verb, measurable result, verifiable claim) apply to any project bullet. AI projects follow the exact same template.

A small working project built with an LLM API produces a bullet like: “Built a Python chatbot using the OpenAI API that answers FAQs from a 50-page PDF, deployed via Streamlit.” That bullet has action verb, tool, function, scope, and delivery method. It is exactly the kind of evidence that makes an interview preparation session productive, because every element is something you can talk about in depth.

TinkerLLM (₹499) is a structured starting point for building that kind of project before your placement window opens. The specificity that makes a resume bullet credible is the same specificity that makes an interview answer convincing.