resume-builder

name	resume-builder
description	Generate professional PDF resumes from structured data or JSON. Multiple templates, ATS-friendly output, and customizable sections.

Resume Builder

Create professional PDF resumes from structured data with multiple template styles. Supports JSON input, customizable sections, and ATS-friendly formatting.

Quick Start

from scripts.resume_builder import ResumeBuilder

# Build resume programmatically
resume = ResumeBuilder()
resume.set_contact("John Smith", "[e-mail]", "555-123-4567", "San Francisco, CA")
resume.set_summary("Experienced software engineer with 5+ years...")
resume.add_experience("Software Engineer", "Tech Corp", "2020-Present", [
    "Led development of microservices architecture",
    "Improved system performance by 40%"
])
resume.add_education("B.S. Computer Science", "State University", "2019")
resume.add_skills(["Python", "JavaScript", "AWS", "Docker"])
resume.generate().save("resume.pdf")

# From JSON
resume = ResumeBuilder.from_json("resume_data.json")
resume.generate().save("resume.pdf")

Features

• Multiple Templates: Modern, classic, minimal, executive styles
• ATS-Friendly: Clean formatting that passes applicant tracking systems
• Customizable Sections: Experience, education, skills, projects, certifications
• Flexible Input: Python API or JSON data
• Professional Output: Clean PDF with proper typography
• Links: Clickable URLs for portfolio, LinkedIn, GitHub

API Reference

Initialization

resume = ResumeBuilder()
resume = ResumeBuilder(template="modern")
resume = ResumeBuilder.from_json("data.json")
resume = ResumeBuilder.from_dict(data)

Contact Information

# Basic contact
resume.set_contact(
    name="John Smith",
    email="[e-mail]",
    phone="555-123-4567",
    location="San Francisco, CA"
)

# With links
resume.set_contact(
    name="John Smith",
    email="[e-mail]",
    phone="555-123-4567",
    location="San Francisco, CA",
    linkedin="linkedin.com/in/johnsmith",
    github="github.com/johnsmith",
    website="johnsmith.dev"
)

Summary/Objective

# Professional summary
resume.set_summary(
    "Experienced software engineer with 5+ years building scalable "
    "web applications. Passionate about clean code and mentoring."
)

# Or objective statement
resume.set_objective(
    "Seeking a senior engineering role where I can leverage my "
    "expertise in distributed systems and cloud architecture."
)

Work Experience

# Add experience entry
resume.add_experience(
    title="Senior Software Engineer",
    company="Tech Corporation",
    dates="Jan 2020 - Present",
    bullets=[
        "Led team of 5 engineers in developing microservices architecture",
        "Reduced API response time by 60% through optimization",
        "Implemented CI/CD pipeline reducing deployment time by 80%"
    ],
    location="San Francisco, CA"  # Optional
)

# Multiple entries
resume.add_experience("Software Engineer", "Startup Inc", "2018-2020", [
    "Built real-time notification system serving 1M+ users",
    "Developed RESTful APIs using Python and FastAPI"
])

Education

# Add education
resume.add_education(
    degree="Bachelor of Science in Computer Science",
    school="State University",
    year="2018",
    gpa="3.8",  # Optional
    honors="Magna Cum Laude"  # Optional
)

# With coursework
resume.add_education(
    degree="M.S. Data Science",
    school="Tech University",
    year="2020",
    coursework=["Machine Learning", "Statistical Analysis", "Big Data"]
)

Skills

# Simple skills list
resume.add_skills(["Python", "JavaScript", "React", "AWS", "Docker"])

# Categorized skills
resume.add_skills({
    "Languages": ["Python", "JavaScript", "Go", "SQL"],
    "Frameworks": ["React", "Django", "FastAPI"],
    "Tools": ["Docker", "Kubernetes", "AWS", "Git"]
})

Projects

# Add project
resume.add_project(
    name="Open Source Library",
    description="Data validation library with 1000+ GitHub stars",
    technologies=["Python", "PyPI"],
    url="github.com/user/project"  # Optional
)

Certifications

resume.add_certification("AWS Solutions Architect", "Amazon", "2023")
resume.add_certification("Professional Scrum Master", "Scrum.org", "2022")

Additional Sections

# Languages
resume.add_languages(["English (Native)", "Spanish (Fluent)", "French (Basic)"])

# Volunteer experience
resume.add_volunteer(
    role="Tech Mentor",
    organization="Code for Good",
    dates="2021 - Present",
    description="Mentor underrepresented students in programming"
)

# Publications
resume.add_publication(
    title="Scaling Microservices",
    venue="Tech Blog",
    year="2023",
    url="blog.com/article"
)

# Custom section
resume.add_custom_section("Awards", [
    "Employee of the Year 2022",
    "Hackathon Winner - Best Innovation"
])

Templates and Styling

# Set template
resume.set_template("modern")    # Clean, contemporary
resume.set_template("classic")   # Traditional, formal
resume.set_template("minimal")   # Simple, ATS-optimized
resume.set_template("executive") # Premium, senior roles

# Custom colors
resume.set_colors(
    primary="#2563eb",   # Headers
    text="#333333"       # Body text
)

# Margins
resume.set_margins(top=0.5, bottom=0.5, left=0.6, right=0.6)

Generation

# Generate and save
resume.generate().save("resume.pdf")

# Get PDF bytes
pdf_bytes = resume.to_bytes()

Data Formats

JSON Format

{
  "contact": {
    "name": "John Smith",
    "email": "[e-mail]",
    "phone": "555-123-4567",
    "location": "San Francisco, CA",
    "linkedin": "linkedin.com/in/johnsmith",
    "github": "github.com/johnsmith"
  },
  "summary": "Experienced software engineer...",
  "experience": [
    {
      "title": "Senior Software Engineer",
      "company": "Tech Corp",
      "dates": "2020 - Present",
      "location": "San Francisco, CA",
      "bullets": [
        
        
      
    
  
   
    
       
       
       
       
    
  
   
      
      
  
   
    
       
       
       
       
    
  
   
    
       
       
       
    
  

CLI Usage

# From JSON file
python resume_builder.py --input resume.json --output resume.pdf

# With template
python resume_builder.py --input data.json --template modern --output resume.pdf

# Quick resume (interactive prompts)
python resume_builder.py --quick --output resume.pdf

CLI Arguments

Argument	Description	Default
--input	Input JSON file	Required
--output	Output PDF path	resume.pdf
--template	Template style	modern

Templates

Modern

• Clean sans-serif typography
• Blue accent color
• Clear section headers
• Good for tech roles

Classic

• Traditional serif fonts
• Black and gray colors
• Formal layout
• Good for traditional industries

Minimal

• Maximum ATS compatibility
• Simple formatting
• No colors or graphics
• Best for online applications

Executive

• Premium appearance
• Elegant typography
• Subtle accents
• Good for senior roles

Best Practices

1. Keep it concise: 1 page for <10 years experience, 2 pages max
2. Use action verbs: "Led", "Developed", "Improved", "Achieved"
3. Quantify achievements: "Increased sales by 25%", "Managed team of 8"
4. Tailor to job: Customize skills and summary for each application
5. ATS-friendly: Use standard section headers, avoid tables/graphics

Dependencies

reportlab>=4.0.0
Pillow>=10.0.0

Limitations

• PDF output only
• English language optimized
• Maximum 2 pages
• No photo support (ATS best practice)