Resume Reviewer for Software Engineers#

This skill provides comprehensive analysis and feedback for software engineering resumes (frontend, backend, or ML domains) in PDF format, typically created with LaTeX.

Analysis Framework#

Perform analysis in the following order:

1. Extract Resume Content#

CRITICAL: Always use the provided script to extract PDF text:

bash

python3 scripts/extract_pdf_text.py <path_to_resume.pdf>

This ensures consistent text extraction and proper handling of LaTeX-formatted PDFs.

2. Initial Assessment#

Identify:

• Candidate's domain (frontend, backend, ML)
• Experience level (junior: 0-2 years, mid: 3-5 years, senior: 6+ years)
• Target role type (based on recent experience)
• Resume format (1-page or 2-page)

3. Technical Content Analysis#

Read references/tech_trends.md to understand current technology landscape and evaluation criteria for the identified domain.

Evaluate:

Theme Identification:

• Primary technical focus areas
• Technology stack evolution over time
• Specializations or niche expertise
• Career trajectory and progression

Company and Impact Analysis:

• Quality and reputation of companies
• Scale of systems worked on (users, data volume, traffic)
• Cross-company skill progression
• Industry diversity or specialization

Technical Depth:

• Modern vs. outdated technology usage
• Alignment with current industry trends
• Breadth vs. depth of expertise
• Evidence of continuous learning

Major Contributions:

• Quantified business impact
• System design and architecture work
• Technical leadership indicators
• Open source or community contributions
• Cross-functional collaboration

Improvement Opportunities:

• Missing relevant technologies for target role
• Weak quantification of impact
• Lack of leadership/mentoring evidence
• Outdated technology focus
• Missing key skills for domain

4. Content Structure and Writing Quality#

Read references/writing_quality.md for detailed grammar and style guidelines.

Evaluate:

Section Organization:

• Logical flow and hierarchy
• Section completeness (Experience, Skills, Education, etc.)
• Appropriate emphasis on relevant sections
• Optimal use of available space

Writing Quality:

• Action verb usage and strength
• Tense consistency
• Conciseness and clarity
• Grammar and punctuation
• Parallel structure in lists

Bullet Point Effectiveness:

• Impact-focused vs. responsibility-focused
• Specificity and quantification
• Business value communication
• Technical detail appropriateness

Formatting Consistency:

• Date formats
• Capitalization
• Punctuation style
• Technology name casing
• Number representation

5. ATS Compatibility Analysis#

Evaluate:

Structure:

• Standard section headers
• Chronological organization
• Contact information placement
• Overall layout simplicity

LaTeX-Specific Issues:

• Multi-column layout problems
• Special characters or symbols
• Text extractability (verify with script output)
• Graphics or custom formatting

Keyword Optimization:

• Presence of relevant technical keywords
• Natural keyword integration
• Acronym definitions
• Industry-standard terminology

Formatting Risks:

• Tables or text boxes for critical content
• Headers/footers with important information
• Non-standard fonts
• Complex nested structures

6. Generate Comprehensive Feedback#

Structure feedback as follows:

Overall Assessment

• 2-3 sentence summary of resume strength
• Primary domain and experience level confirmation
• Key differentiators or standout qualities

Strengths (What's Good)

• Specific examples of effective content
• Well-executed sections or bullet points
• Strong technical expertise demonstrated
• Effective quantification or storytelling
• Good formatting choices

Technical Content Recommendations

• Missing relevant modern technologies
• Opportunities to strengthen impact statements
• Suggestions for better technical positioning
• Areas to highlight or expand
• Technologies to add based on target roles

Content Structure and Writing Improvements

• Grammar or style issues with specific examples
• Bullet point enhancements with before/after examples
• Section reorganization suggestions
• Consistency fixes needed
• Conciseness improvements

ATS Optimization Recommendations

• Specific parsing risks identified
• Keyword additions or improvements
• Formatting changes for better compatibility
• Section header standardization

Priority Action Items

• Rank top 5-7 improvements by impact
• Quick wins vs. larger rewrites
• Critical issues vs. nice-to-haves

Output Format#

Present feedback in clear, actionable format using markdown headers and bullet points. Use specific examples from the resume when citing issues or strengths. Provide before/after suggestions for concrete improvements.

Be encouraging and constructive while being honest about weaknesses. Frame criticism as opportunities for improvement.

Important Notes#

• Always extract PDF text using the provided script first
• Consult reference files for domain-specific and writing guidelines
• Tailor feedback to candidate's experience level and target domain
• Focus on high-impact improvements first
• Provide specific, actionable recommendations with examples
• Consider both ATS parsing and human readability