Every application deserves its own resume.

A block-based editor with print-exact output, and an AI that retailors your resume to every job post, by hand or with the in-editor agent.

Open the editor View pricing
Import my LinkedIn and set up the base resume
2h ago

Done — I imported 6 roles, structured the sections, and kept it to one page.

1h ago
Tailor this to the Staff Engineer posting at Acme
staff-engineer-acme.pdfPDF · 84 KB
1m ago

They want distributed-systems depth — I rewrote three Experience bullets and led Skills with Kafka.

Sources
1Staff Engineer — Acme
1m ago
Need more AI credits?Manage credits

  • EDUCATION

    • University of Technology, New York
      Sept 2020 - May 2024 (Expected)
      Bachelor of Science in Data Science
      GPA: 3.8/4.0
      • Relevant coursework: Statistical Analysis, Machine Learning, Database Management, Data Visualization
      • Senior Project: Predictive Analysis of Consumer Behavior Using Machine Learning Algorithms
      • Dean's List: Fall 2020 - Present

  • EXPERIENCE

    • XYZ Corporation
      May 2023 - August 2023
      Data Science Intern
      • Led development of customer-facing portal using React, increasing user engagement by 40%
      • Architected and implemented microservices using Node.js and Docker
      • Mentored junior developers and conducted code reviews
    • ABC Company
      June 2022 - August 2022
      Business Analytics Intern
      • Helped maintain SQL databases for operational data tracking under senior analyst supervision
      • Assisted in creating visualization dashboards that improved department reporting efficiency
      • Conducted statistical analysis to identify trends in customer purchasing patterns
      • Documented data cleaning and analysis processes for future intern reference
    • Global Enterprises
      May 2021 - August 2021
      Research & Development Intern
      • Gathered business requirements and contributed to technical specifications documentation
      • Conducted market research and competitive analysis for a new product line
      • Created weekly performance reports for department managers using Excel and Tableau
      • Participated in brainstorming sessions to improve customer outreach strategies

  • PROJECTS

    • Customer Segmentation Model
      • Developed a machine learning model that identified high-value customer segments, leading to a 15% increase in targeted marketing ROI
    • Automated Reporting System
      • Created an end-to-end reporting solution that aggregated data from multiple sources, reducing reporting time from 3 days to 2 hours
    • Predictive Maintenance Algorithm
      • Built algorithms to predict equipment failures, reducing downtime by 40% and maintenance costs by $1.2M annually

  • SKILLS

    • Programming Languages: Python (Pandas, NumPy, Scikit-learn), R, SQL, JavaScript
    • Data Visualization: Tableau, Power BI, Matplotlib, D3.js
    • Databases: MySQL, PostgreSQL, MongoDB, Oracle
    • Tools & Platforms: Git, Jira, Confluence, AWS, Docker
    • Methodologies: Agile/Scrum, Data Modeling, ETL, Statistical Analysis

  • LANGUAGES

    English (Native), Spanish (Professional working proficiency), French (Elementary proficiency)

  • CERTIFICATIONS

    • AWS Certified Data Analytics Specialist (2022)
    • Tableau Desktop Specialist (2021)
    • Microsoft Certified: Data Analyst Associate (2019)

Start with what you have. Shape it for what comes next.

Risume keeps the writing, layout, and tailoring workflow in one place, so every adjustment remains visible and editable.

Rebuild the resume you already trust.

Give the agent an existing resume and it rebuilds the content inside the same structured editor.

Rebuild this resume in the editor. Keep the facts and section order.
john-doe-resume.pdfPDF · 118 KB
1m ago

Done — I rebuilt it as editable sections and kept it to one page.

1m ago
Need more AI credits?Manage credits

  • EDUCATION

    • University of Technology, New York
      Sept 2020 - May 2024 (Expected)
      Bachelor of Science in Data Science
      GPA: 3.8/4.0
      • Relevant coursework: Statistical Analysis, Machine Learning, Database Management, Data Visualization
      • Senior Project: Predictive Analysis of Consumer Behavior Using Machine Learning Algorithms
      • Dean's List: Fall 2020 - Present

  • EXPERIENCE

    • XYZ Corporation
      May 2023 - August 2023
      Data Science Intern
      • Led development of customer-facing portal using React, increasing user engagement by 40%
      • Architected and implemented microservices using Node.js and Docker
      • Mentored junior developers and conducted code reviews
    • ABC Company
      June 2022 - August 2022
      Business Analytics Intern
      • Helped maintain SQL databases for operational data tracking under senior analyst supervision
      • Assisted in creating visualization dashboards that improved department reporting efficiency
      • Conducted statistical analysis to identify trends in customer purchasing patterns
      • Documented data cleaning and analysis processes for future intern reference
    • Global Enterprises
      May 2021 - August 2021
      Research & Development Intern
      • Gathered business requirements and contributed to technical specifications documentation
      • Conducted market research and competitive analysis for a new product line
      • Created weekly performance reports for department managers using Excel and Tableau
      • Participated in brainstorming sessions to improve customer outreach strategies

  • PROJECTS

    • Customer Segmentation Model
      • Developed a machine learning model that identified high-value customer segments, leading to a 15% increase in targeted marketing ROI
    • Automated Reporting System
      • Created an end-to-end reporting solution that aggregated data from multiple sources, reducing reporting time from 3 days to 2 hours
    • Predictive Maintenance Algorithm
      • Built algorithms to predict equipment failures, reducing downtime by 40% and maintenance costs by $1.2M annually

  • SKILLS

    • Programming Languages: Python (Pandas, NumPy, Scikit-learn), R, SQL, JavaScript
    • Data Visualization: Tableau, Power BI, Matplotlib, D3.js
    • Databases: MySQL, PostgreSQL, MongoDB, Oracle
    • Tools & Platforms: Git, Jira, Confluence, AWS, Docker
    • Methodologies: Agile/Scrum, Data Modeling, ETL, Statistical Analysis

  • LANGUAGES

    English (Native), Spanish (Professional working proficiency), French (Elementary proficiency)

  • CERTIFICATIONS

    • AWS Certified Data Analytics Specialist (2022)
    • Tableau Desktop Specialist (2021)
    • Microsoft Certified: Data Analyst Associate (2019)

Work directly on the page.

Click into the real resume, write in place, and move blocks with familiar, Notion-style controls.

  • EDUCATION

    • University of Technology, New York
      Sept 2020 - May 2024 (Expected)
      Bachelor of Science in Data Science
      GPA: 3.8/4.0
      • Relevant coursework: Statistical Analysis, Machine Learning, Database Management, Data Visualization
      • Senior Project: Predictive Analysis of Consumer Behavior Using Machine Learning Algorithms
      • Dean's List: Fall 2020 - Present

  • EXPERIENCE

    • XYZ Corporation
      May 2023 - August 2023
      Data Science Intern
      • Led development of customer-facing portal using React, increasing user engagement by 40%
      • Architected and implemented microservices using Node.js and Docker
      • Mentored junior developers and conducted code reviews
    • ABC Company
      June 2022 - August 2022
      Business Analytics Intern
      • Helped maintain SQL databases for operational data tracking under senior analyst supervision
      • Assisted in creating visualization dashboards that improved department reporting efficiency
      • Conducted statistical analysis to identify trends in customer purchasing patterns
      • Documented data cleaning and analysis processes for future intern reference
    • Global Enterprises
      May 2021 - August 2021
      Research & Development Intern
      • Gathered business requirements and contributed to technical specifications documentation
      • Conducted market research and competitive analysis for a new product line
      • Created weekly performance reports for department managers using Excel and Tableau
      • Participated in brainstorming sessions to improve customer outreach strategies

  • PROJECTS

    • Customer Segmentation Model
      • Developed a machine learning model that identified high-value customer segments, leading to a 15% increase in targeted marketing ROI
    • Automated Reporting System
      • Created an end-to-end reporting solution that aggregated data from multiple sources, reducing reporting time from 3 days to 2 hours
    • Predictive Maintenance Algorithm
      • Built algorithms to predict equipment failures, reducing downtime by 40% and maintenance costs by $1.2M annually

  • SKILLS

    • Programming Languages: Python (Pandas, NumPy, Scikit-learn), R, SQL, JavaScript
    • Data Visualization: Tableau, Power BI, Matplotlib, D3.js
    • Databases: MySQL, PostgreSQL, MongoDB, Oracle
    • Tools & Platforms: Git, Jira, Confluence, AWS, Docker
    • Methodologies: Agile/Scrum, Data Modeling, ETL, Statistical Analysis

  • LANGUAGES

    English (Native), Spanish (Professional working proficiency), French (Elementary proficiency)

  • CERTIFICATIONS

    • AWS Certified Data Analytics Specialist (2022)
    • Tableau Desktop Specialist (2021)
    • Microsoft Certified: Data Analyst Associate (2019)

Give the agent the job, not a vague prompt.

Paste a job URL and let the resume agent read the role before it makes focused, truthful changes.

Tailor this resume to the Staff Product Designer role at Northstar.
1m ago

They lead with design systems and engineering collaboration — I reordered Skills and refined two experience bullets while preserving your layout.

Sources
1Staff Product Designer — Northstar
Just now
Need more AI credits?Manage credits

  • EDUCATION

    • University of Technology, New York
      Sept 2020 - May 2024 (Expected)
      Bachelor of Science in Data Science
      GPA: 3.8/4.0
      • Relevant coursework: Statistical Analysis, Machine Learning, Database Management, Data Visualization
      • Senior Project: Predictive Analysis of Consumer Behavior Using Machine Learning Algorithms
      • Dean's List: Fall 2020 - Present

  • EXPERIENCE

    • XYZ Corporation
      May 2023 - August 2023
      Data Science Intern
      • Led development of customer-facing portal using React, increasing user engagement by 40%
      • Architected and implemented microservices using Node.js and Docker
      • Mentored junior developers and conducted code reviews
    • ABC Company
      June 2022 - August 2022
      Business Analytics Intern
      • Helped maintain SQL databases for operational data tracking under senior analyst supervision
      • Assisted in creating visualization dashboards that improved department reporting efficiency
      • Conducted statistical analysis to identify trends in customer purchasing patterns
      • Documented data cleaning and analysis processes for future intern reference
    • Global Enterprises
      May 2021 - August 2021
      Research & Development Intern
      • Gathered business requirements and contributed to technical specifications documentation
      • Conducted market research and competitive analysis for a new product line
      • Created weekly performance reports for department managers using Excel and Tableau
      • Participated in brainstorming sessions to improve customer outreach strategies

  • PROJECTS

    • Customer Segmentation Model
      • Developed a machine learning model that identified high-value customer segments, leading to a 15% increase in targeted marketing ROI
    • Automated Reporting System
      • Created an end-to-end reporting solution that aggregated data from multiple sources, reducing reporting time from 3 days to 2 hours
    • Predictive Maintenance Algorithm
      • Built algorithms to predict equipment failures, reducing downtime by 40% and maintenance costs by $1.2M annually

  • SKILLS

    • Programming Languages: Python (Pandas, NumPy, Scikit-learn), R, SQL, JavaScript
    • Data Visualization: Tableau, Power BI, Matplotlib, D3.js
    • Databases: MySQL, PostgreSQL, MongoDB, Oracle
    • Tools & Platforms: Git, Jira, Confluence, AWS, Docker
    • Methodologies: Agile/Scrum, Data Modeling, ETL, Statistical Analysis

  • LANGUAGES

    English (Native), Spanish (Professional working proficiency), French (Elementary proficiency)

  • CERTIFICATIONS

    • AWS Certified Data Analytics Specialist (2022)
    • Tableau Desktop Specialist (2021)
    • Microsoft Certified: Data Analyst Associate (2019)

Design the page and export what you see.

Use the same design panel from the editor to adjust typography, spacing, alignment, and margins.

  • EDUCATION

    • University of Technology, New York
      Sept 2020 - May 2024 (Expected)
      Bachelor of Science in Data Science
      GPA: 3.8/4.0
      • Relevant coursework: Statistical Analysis, Machine Learning, Database Management, Data Visualization
      • Senior Project: Predictive Analysis of Consumer Behavior Using Machine Learning Algorithms
      • Dean's List: Fall 2020 - Present

  • EXPERIENCE

    • XYZ Corporation
      May 2023 - August 2023
      Data Science Intern
      • Led development of customer-facing portal using React, increasing user engagement by 40%
      • Architected and implemented microservices using Node.js and Docker
      • Mentored junior developers and conducted code reviews
    • ABC Company
      June 2022 - August 2022
      Business Analytics Intern
      • Helped maintain SQL databases for operational data tracking under senior analyst supervision
      • Assisted in creating visualization dashboards that improved department reporting efficiency
      • Conducted statistical analysis to identify trends in customer purchasing patterns
      • Documented data cleaning and analysis processes for future intern reference
    • Global Enterprises
      May 2021 - August 2021
      Research & Development Intern
      • Gathered business requirements and contributed to technical specifications documentation
      • Conducted market research and competitive analysis for a new product line
      • Created weekly performance reports for department managers using Excel and Tableau
      • Participated in brainstorming sessions to improve customer outreach strategies

  • PROJECTS

    • Customer Segmentation Model
      • Developed a machine learning model that identified high-value customer segments, leading to a 15% increase in targeted marketing ROI
    • Automated Reporting System
      • Created an end-to-end reporting solution that aggregated data from multiple sources, reducing reporting time from 3 days to 2 hours
    • Predictive Maintenance Algorithm
      • Built algorithms to predict equipment failures, reducing downtime by 40% and maintenance costs by $1.2M annually

  • SKILLS

    • Programming Languages: Python (Pandas, NumPy, Scikit-learn), R, SQL, JavaScript
    • Data Visualization: Tableau, Power BI, Matplotlib, D3.js
    • Databases: MySQL, PostgreSQL, MongoDB, Oracle
    • Tools & Platforms: Git, Jira, Confluence, AWS, Docker
    • Methodologies: Agile/Scrum, Data Modeling, ETL, Statistical Analysis

  • LANGUAGES

    English (Native), Spanish (Professional working proficiency), French (Elementary proficiency)

  • CERTIFICATIONS

    • AWS Certified Data Analytics Specialist (2022)
    • Tableau Desktop Specialist (2021)
    • Microsoft Certified: Data Analyst Associate (2019)

Start with a point of view.
Keep complete control.

Each design is a real, editable resume rather than a flattened theme. Choose the closest structure, then change the content, order, type, and spacing in the editor.

Browse the collection

Classic

Direct, conventional, and fully adjustable from the design panel.

Meridian

An engraved serif hierarchy for experienced and technical work.

Folio

A warm editorial page with room for a more narrative career.

Verdant

A structured two-column layout with a restrained sage palette.

Atelier

A more expressive composition for creative and client-facing roles.

Your role changes what the page should emphasize.

Students lead with evidence of potential. Experienced candidates lead with scope and outcomes. These are finished examples from the collection — same product, three stages, three different pages.

Explore all examples

Student & new graduate

Education leads. Coursework, projects, and awards carry a page that can't lean on job titles yet.

Early career

Experience takes over the top of the page — shipped work and growing ownership, stated plainly.

Experienced & lead

Scope and outcomes lead: reliability numbers, promotion context, and the systems owned.

A few things worth knowing.

A short explanation of what the editor does today and what to expect from the finished document.

Can I edit the resume directly on the page?

Yes. Click into text to edit it, reorder blocks, add or remove sections, and use the design panel for page-level typography and spacing.

Can the agent tailor a resume to a job posting?

Yes. Give the agent a job description or a public job-post link, then review the proposed changes in the same resume editor.

Do my content and design changes save?

Yes. Resume content and per-resume design settings are saved separately, so reopening a resume restores both your words and your layout choices.

Are the templates ATS compatible?

The templates use live text and clear document structure rather than flattened images. No builder can guarantee every employer’s parser, so the final PDF should still be reviewed for the role and application system.

Will the downloaded PDF match the editor?

The editor is built around a fixed US Letter canvas and print-aware rendering, so the PDF is designed to preserve the page breaks and layout you reviewed.

Build the resume the role deserves.

Open the editor View pricing