Résumé editor

The best way to write a résumé.

Open the editor. Type into the form on the left — the page composes itself on the right. Twenty editorial templates. Export a clean PDF when you're done.

Already have one in PDF, Word, or LinkedIn? Drop it in — we'll fill the form for you.
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Personal info
Full name
Title
Location
Summary
Experience · 01
Role
Company
Bullet 01
Bullet 02
Experience · 02
Role
Company
Maya Patel
Senior Software Engineer · San Francisco, CA
maya.patel@example.com +1 (415) 555-0142 mayapatel.ai github.com/mpatel linkedin.com/in/mayapatel
Summary

ML systems engineer with 7+ years building large-scale training and inference infrastructure. Focused on distributed systems and frontier models — from CUDA kernels to RLHF pipelines. Work ships to products used by hundreds of millions.

Experience
Member of Technical Staff
2023 – Present
OpenAI · San Francisco
  • Led training infrastructure for a flagship multimodal model; cut step time 34% across 10k+ H100s.
  • Designed the post-training evaluation harness used by 40+ research projects to catch regressions pre-ship.
  • Mentored 4 engineers; drove the hiring bar for training infra team as it scaled from 6 to 18.
Senior Research Engineer
2021 – 2023
Anthropic · San Francisco
  • Built the distributed inference stack behind Claude; 2.1× throughput at 40% lower p99 latency.
  • Open-sourced an internal interpretability toolkit; 8.4k ★ on GitHub within six months.
Software Engineer
2018 – 2021
Google DeepMind · Mountain View
  • Shipped training telemetry used by 300+ researchers across the Brain–DeepMind merger.
  • Co-authored a NeurIPS 2020 paper on efficient attention at 64k sequence length.
Projects
nanoeval
2024
github.com/mpatel/nanoeval
  • A minimal, typed eval framework for LLMs. Adopted internally by three AI labs. 3.8k ★.
Education
Stanford University
2016 – 2018
M.S. Computer Science · Stanford, CA
UC Berkeley
2012 – 2016
B.S. EECS · Phi Beta Kappa
Skills
Languages Python, CUDA, C++, Rust, Triton, Go
ML & systems PyTorch, JAX, Ray, Megatron, vLLM, DeepSpeed, NCCL
Infra H100/A100, Slurm, Kubernetes, AWS, GCP, Kafka, Postgres
How it works

From blank page to sent in minutes.

Four steps, no setup. Most people have a finished, ATS-clean PDF in under fifteen minutes.

01
Pick a template
Twenty layouts that recruiters genuinely respond to. Don't overthink — switch any time without losing your content.
02
Drop in your existing résumé
PDF, Word, or your LinkedIn export. We parse the dates, bullets, and roles into the form for you. Or start fresh with the sample.
03
Edit it down to one page
Live preview shows the page filling up as you type. Auto-fit warns the moment you cross — so you tighten before you ship.
04
Export an ATS-ready PDF
Real vector text — selectable, searchable, and parseable by Workday, Greenhouse, and Lever. One click. Done.
Import

Already have one? Drop it in.

LuckyResume reads your existing résumé and fills the form in for you. Works with LinkedIn exports, PDFs, and Word documents — no retyping.

Templates

The layouts recruiters actually want to read.

Modeled after the résumé patterns that get callbacks on LinkedIn, Workday, Greenhouse, Lever — clean type, real margins, no clipart. Every template works for engineers, designers, PMs, finance, students, anyone. Pick one in a second; switch any time without losing content.

Maya Patel
Senior Software Engineer
maya.patel@example.com(415) 555-0142San Francisco, CAmayapatel.aigithub.com/mpatel
Summary

ML systems engineer with 7+ years building large-scale training and inference infrastructure. Distributed systems and frontier models — from CUDA kernels to RLHF pipelines. Work ships to products used by hundreds of millions.

Experience
Member of Technical Staff2023 — Present
OpenAI · San Francisco
  • Led training infra for a flagship multimodal model; cut step time 34% across 10k+ H100s.
  • Designed eval harness used by 40+ research projects to catch regressions pre-ship.
  • Mentored 4 engineers; drove the hiring bar as the team scaled 6 → 18.
Senior Research Engineer2021 — 2023
Anthropic · San Francisco
  • Built distributed inference stack behind Claude; 2.1× throughput, 40% lower p99.
  • Open-sourced an interpretability toolkit; 8.4k ★ within six months.
Software Engineer2018 — 2021
Google DeepMind · Mountain View
  • Shipped training telemetry used by 300+ researchers across the Brain–DeepMind merger.
  • Co-authored a NeurIPS 2020 paper on efficient attention at 64k sequence length.
Education
Stanford University · M.S. Computer Science2016 — 2018
UC Berkeley · B.S. EECS2012 — 2016
Skills
LanguagesPython, CUDA, C++, Rust, Triton, Go
MLPyTorch, JAX, Megatron, vLLM, DeepSpeed
InfraH100, Slurm, Kubernetes, AWS, Postgres
Use this template →
Classic
the safe bet · works for any role
Sofia Reyes
Senior Product Designer
sofia@example.com(212) 555-0188Brooklyn, NYsofiareyes.designdribbble.com/sofia
Summary

Product designer with 8+ years shaping consumer software from concept to ship. Led design at Linear and Notion through hyper-growth. Strong taste, paired with research rigor and a systems mindset.

Experience
Lead Product Designer2023 — Present
Linear · New York
  • Led the redesign of the issue-triage flow used by 30k+ teams; cut time-to-create 41%.
  • Established the design tokens system and shipped Linear's first dark mode in Q4 '23.
  • Mentored 4 designers; runs weekly crit sessions across product, marketing, brand.
Senior Product Designer2020 — 2023
Notion · San Francisco
  • Designed the new Pages canvas powering 35M users.
  • Owned the timeline view end-to-end; adopted by 12k teams in launch month.
Product Designer2018 — 2020
Square · San Francisco
  • Shipped the merchant dashboard redesign; lifted weekly active merchants 22%.
  • Led design of inventory tooling for small businesses; 1.2M sellers onboarded.
Education
Stanford University · MFA Design2016 — 2018
Brown University · BA Visual Arts2012 — 2016
Skills
ToolsFigma, FigJam, Framer, Linear, Origami
Methodsresearch, prototyping, design systems
Domainsconsumer SaaS, mobile-first, B2B
Use this template →
Modern
most-picked · clean & contemporary
Marcus Chen
Senior Product Manager
marcus@example.com(415) 555-0177San Francisco, CAlinkedin.com/in/marcuschen
Summary

Product manager with 7 years across Stripe, Notion, and Google. Shipped revenue-critical surfaces touching $2B+ ARR. Track record of zero-to-one builds and scaling crowded surfaces without breaking them.

Experience
Senior PM2022 — Present
Stripe · San Francisco
  • Owned the Atlas onboarding funnel; doubled activation rate over 9 months.
  • Led Stripe Tax expansion across 27 new countries; +$180M in annualized GMV.
  • Partnered with growth on lifecycle emails; lifted 30-day retention 18%.
Product Manager2019 — 2022
Notion · San Francisco
  • Drove the templates ecosystem from 0 to 50k creator submissions.
  • Owned mobile experience as DAU grew 2M → 15M.
Associate PM2017 — 2019
Google · Mountain View
  • Worked on Search ranking quality; shipped four launches with measurable lift.
Education
Wharton · MBA2015 — 2017
UC Berkeley · BS Economics2009 — 2013
Skills
Strategyroadmap, OKRs, GTM, pricing
AnalyticsSQL, Mixpanel, Amplitude, Hex
DomainsB2B SaaS, payments, dev tools
Use this template →
Banner
stand out · senior & exec roles
Jamie Park
Head of Marketing
jamie@example.com(310) 555-0103Los Angeles, CAjamiepark.colinkedin.com/in/jamiepark
Summary

Brand and marketing leader who builds category-defining narratives. Took two seed-stage startups through Series B owning brand, growth, and content. Believes in fewer, sharper bets — and in shipping the work, not just decks.

Experience
Head of Marketing2023 — Present
Cursor · San Francisco
  • Owned brand & growth from $200M → $2.5B valuation across nine months.
  • Built the content engine: 2M monthly readers, 11k newsletter subs in nine months.
  • Led the v1.0 launch reaching 480M+ impressions in launch week.
Senior Brand Director2020 — 2023
Robinhood · Menlo Park
  • Led the rebrand reveal — 480M+ impressions, ~6× earned media value.
  • Built the in-house brand studio: 4 designers, 2 producers, 1 strategist.
Brand Strategist2017 — 2020
Apple · Cupertino
  • Worked on retail brand for the Apple Vision Pro launch arc.
  • Wrote and shipped the Black Unity 2019 campaign across 30+ markets.
Education
Northwestern · MA Communication2015 — 2017
NYU · BA English2011 — 2015
Skills
Strategypositioning, GTM, PR, brand voice
ToolsFigma, Webflow, HubSpot, Notion
Channelspaid social, content, partnerships
Use this template →
Modernist
bold & confident · creative roles
arjun.kapoor
// senior backend engineer
arjun@example.com(206) 555-0114github.com/arjunkarjunkapoor.dev
./summary

Backend engineer · 8 yrs building distributed storage and query engines. Open-source maintainer (1 Apache project, 2 personal). Lives in Rust and Go; writes about both.

./experience
datadog · staff engineer2022 — now
  • Owned the metrics ingest path; -38% p99 latency at 4× volume.
  • Led the Rust rewrite of the cardinality-limit service; 12× throughput.
  • Mentored 6 engineers; designed the on-call rotation for the team.
snowflake · senior engineer2019 — 2022
  • Built the storage tier compaction scheduler used by all warehouses.
  • Authored RFC-014 (geo-replication); shipped to GA in 14 months.
cloudflare · engineer2016 — 2019
  • Worked on the Rust rewrite of the edge metrics pipeline.
  • Co-authored the FL Studio rate-limit DDoS protection layer.
./projects
apache fluss · committer2023 — now
  • Streaming storage layer for real-time analytics. 6.2k ★ on GitHub.
./education
Carnegie Mellon · M.S. CS2014 — 2016
IIT Bombay · B.Tech CSE2010 — 2014
./skills
langrust, go, c++, python, sql
infrak8s, kafka, postgres, cassandra, redis
domainsdistributed systems, storage, observability
Use this template →
Mono
indie & technical · dev / devops / data
Dr. Aria Singh
Research Scientist · Allen AI
aria.singh@example.edu(617) 555-0166Cambridge, MAariasingh.io
Summary

Computational linguist studying how large language models reason. NSF and Sloan fellow. Twelve peer-reviewed papers at NeurIPS, ACL, EMNLP. Teaches a graduate seminar on interpretability at MIT.

Experience
Research Scientist2022 — Present
Allen Institute for AI · Seattle
  • Lead author on 6 papers exploring LLM reasoning failures. NeurIPS 2024 spotlight.
  • Built the lab's evaluation infrastructure for multi-hop reasoning benchmarks.
  • Advised 4 PhD interns; two went on to faculty positions at MIT and CMU.
Postdoctoral Fellow2020 — 2022
MIT CSAIL · Cambridge
  • Co-developed RoBERTa-Cite, a citation-aware retrieval model. ACL 2022 best-paper nominee.
  • Taught the graduate NLP seminar; 32 students, 4.8/5 rating.
Selected publications
  • Singh, A. et al. Faithful chain-of-thought. NeurIPS 2024 (spotlight).
  • Singh, A. & Liu, B. On hallucination quantification. ACL 2023.
  • Singh, A. Compositional generalization in seq2seq. EMNLP 2021.
Education
UC Berkeley · PhD Computer Science2015 — 2020
MIT · BS Mathematics2011 — 2015
Skills
AreasNLP, interpretability, formal semantics
StackPyTorch, JAX, HuggingFace, Slurm
Use this template →
Editorial
date column · research, academia, policy
From the people doing the hiring

What recruiters wish you knew.

Honest takes from people who read résumés all day. The patterns they describe are the ones we built into the defaults — so the easy thing to write is also the right thing to send.

I read about two hundred résumés a day. If yours can't make its case in one page, it usually doesn't get a second one. The cleanest one-pagers — tight bullets, real margins, no clipart — almost always advance to the phone screen. That's just the pattern.

DK
Daniel Kerr
Senior Tech Recruiter · 10 yrs at FAANG

Fifteen years in the Valley and the strongest candidates always write less, not more. A two-page résumé tells me you couldn't decide what mattered. One page tells me you can. That's the unspoken signal we're all reading.

PA
Priya Anand
Recruiting Lead · San Francisco · 15 yrs

Most résumé builders push templates that look great in a screenshot and break in a Workday upload — sidebar bars, fancy tables, two-column tricks. ATS parsers throw them out before a human ever sees them. Plain, well-typed pages parse cleanly every time. That's what we want.

SW
Sarah Wei
Career Coach · ex-Google recruiter

What's in the editor.

20
Editorial templates
Every one tuned for one page. Real type, not clipart. Switch mid-draft without losing content.
3
Ways to import
LinkedIn archive, PDF/DOCX upload, or plain-text paste. The parser fills your form for you.
PDF
Export in one click
Real vector text — selectable, searchable, and parseable by Workday, Greenhouse, and Lever.
FAQ

Questions people ask before they start.

The short answers to the things that usually block a first draft.

Is LuckyResume really free?

Yes — free forever. No paywall, no credit card, no premium tier. Twenty templates, unlimited résumés, unlimited PDF exports.

Do I need to sign up?

Sign in with Google in two clicks — that's it. No email confirmation, no profile to fill out. The Google account is just so your résumés sync between devices.

Where are my résumés stored?

Securely in our cloud, tied to your Google account. Every edit auto-saves; sign in from any browser or device and your résumés are right there.

Can I import an existing résumé?

Yes. LinkedIn data exports, PDFs, Word documents, and pasted text all flow into the editor — dates, bullets, and roles parsed into the form so you tighten instead of retyping.

Will the export stay ATS-friendly?

Yes. The PDF keeps real selectable text and a clean reading order — which is exactly what Workday, Greenhouse, Lever, and other applicant tracking systems parse best.

Can I switch templates after I start?

Yes — any time, without losing content. Your text stays put while you compare layouts; changing the look isn't rebuilding the page.

The best way to start is to start.

Write for ten minutes. Land somewhere. Free, no signup, no credit card.

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