CVLoom

SDE new grad resume example

Campus placement shortlists move fast and often run through software first. This layout scores 98/100 against our 30 published rules — the highest in our catalogue — while still reading like a designed document rather than a text file.

98/100interview-ready

Measured by exporting this exact resume and running it through the 30 rules we publish. Certified: we only badge templates at 90 or above, a stricter bar than the 85 our checker calls interview-ready, so the design leaves headroom for your own content.

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Emily Dawson
New-Grad Software Engineer, B.S. Computer Science 2026
emily.dawson@example.com·(555) 208-4471·github.com/emilydawson·leetcode.com/emilydawson·Dallas, TX
Summary

Computer science graduate focused on backend development and data structures. Two internships that shipped to production, three projects with measured outcomes, 480 solved algorithm problems, and a GPA of 3.7. Looking for a backend or full-stack role starting June 2026.

Education
B.S. Computer Science, GPA 3.7 out of 4.02022 – 2026
University of Texas at Dallas
Experience
Software Engineering InternFinlytica05/2025 – 08/2025 · Remote
  • Built the transaction categorisation service in Go that now labels 1.2 million transactions a day at 96% accuracy
  • Cut the nightly reconciliation job from 42 minutes to 9 by batching database writes and adding two indexes
  • Wrote 140 unit and integration tests; the service shipped with 91% coverage and no production incidents in its first quarter
  • Presented the design to the platform team and had it adopted as the template for two later services
Backend InternCampusKart12/2024 – 02/2025 · Dallas, TX
  • Built REST endpoints in Node.js for order tracking used by 4,000 student customers
  • Reduced order-status API latency 60% with Redis caching of the hot path
  • Set up the CI pipeline with GitHub Actions; every pull request now runs lint, tests and a preview deploy
Projects
Ledgerly, personal finance APIGo, PostgreSQL, Docker. Double-entry ledger with idempotent posting; 2,000 requests a second on a single instance in load tests. 210 GitHub stars.
Campus Pool, ride-sharing web appReact, Node.js, MongoDB. Matched 600 students to rides in one semester; won second place at the UTD hackathon 2024.
Paper Trail, citation graph explorerPython, NetworkX, D3. Indexed 40,000 papers and served an interactive graph; used by two research groups on campus.
Skills
Languages: Go · Python · Java · JavaScript and TypeScript · SQL
Backend: REST and gRPC APIs · PostgreSQL · Redis · Docker · GitHub Actions
Fundamentals: Data structures and algorithms (480 problems) · System design basics · Testing and code review · Git
Achievements
Second place, UTD Hackathon 2024Campus Pool, out of 62 teams
Teaching Assistant, Data StructuresTwo semesters, 90 students, lab sections and grading

The live document, not a screenshot. Names and employers are fictional.

Why these bullets work

Every line below is taken verbatim from the resume above.

Built the transaction categorisation service in Go that now labels 1.2 million transactions a day at 96% accuracy

An intern bullet with production numbers. Daily volume and accuracy say the code shipped and stayed.

Cut the nightly reconciliation job from 42 minutes to 9 by batching database writes and adding two indexes

A before-and-after runtime with the two changes that caused it. Interviewers ask about exactly this kind of bullet.

Built REST endpoints in Node.js for order tracking used by 4,000 student customers

User count on an internship project. It turns 'built endpoints' into something that had customers.

Making it yours

  • Order projects by what you can defend for fifteen minutes, not by what sounds most advanced.
  • Name the specific stack per project rather than keeping one long skills list.
  • Keep GPA visible only if it clears the bar your target companies screen at.
  • Every project should answer 'who used it' — even if the answer is thirty classmates.

Common questions

Does a 98 mean this resume gets shortlisted?

No, and we will not pretend otherwise. The score measures whether software can read your resume correctly — parseability, structure, contact details, writing quality. Whether you are shortlisted depends on what those bullets say. A high score removes an obstacle; it does not replace the content.

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