Tech CV Writer

Write CVs optimized for 2026's AI-screened hiring landscape.

Why 2026 Is Different

• 78% of tech firms use AI models to pre-filter resumes (LinkedIn Talent Report 2025)
• 75% of resumes rejected by ATS before human sees them (Jobscan)
• ATS scans in 6-7 seconds, looking for exact keyword matches
• AI screening uses semantic understanding, not just keywords

Core Philosophy

1. ATS first, humans second — Format for parsing, then design for readers
2. Keywords are literal — "React.js" ≠ "ReactJS" to some parsers
3. Quantify everything — Numbers beat adjectives every time
4. One role, one CV — Tailor keywords per application
5. LaTeX = clean parsing — Agents compile it easily, ATS parses cleanly

ATS Framework

Stage	What Happens
Parse	Extract contact, experience, skills (use standard sections)
Score	Match keywords from job description (exact phrasing)
Rank	Compare against candidates (keyword density matters)
Filter	Reject below threshold (90+ = human review)

AI screening adds: Semantic matching, context awareness, transferable skills detection.

See references/ats-architecture.md for deep dive.

Resume Structure

Section Order (Reverse Chronological)

1. Header (Name, Title, Contact, Links)
2. Professional Summary (2-3 sentences)
3. Technical Skills (categorized)
4. Professional Experience
5. Projects (if applicable)
6. Education / Certifications

Format Rules

Rule	Why
Single-column	Two-column breaks parsing
Standard headings	"Work Experience" not creative names
10-12pt standard font	Reliable parsing
.docx OR .pdf (not scanned)	Avoid image-based PDFs
No tables/graphics	Breaks keyword extraction

Keyword Strategy

Extraction Process

1. Copy job description
2. Identify hard skills, tools, frameworks
3. Map to your exact phrasing
4. Embed in skills + bullet points

Keyword Priority

Priority	Type	Example
P0	Required tech	Python, React, AWS
P1	Preferred	CI/CD, Agile, microservices
P2	Nice-to-have	Leadership, mentoring

See references/keyword-strategy.md for full keyword clusters by role.

Bullet Formula

[Action Verb] [What] [How] [Result with metrics]

Weak	Strong
"Wrote Python scripts"	"Developed Python automation scripts reducing manual processing time by 40%"
"Worked on API"	"Designed RESTful APIs handling 10K+ requests/day with 99.9% uptime"

See references/bullet-formulas.md for complete action verbs and before/after examples.

LaTeX Templates

LaTeX produces clean, ATS-friendly output — agents compile it easily.

Quick Template

\documentclass[11pt]{article}
\usepackage[left=0.75in,right=0.75in,top=0.5in,bottom=0.5in]{geometry}
\usepackage{enumitem}
\begin{document}
\textbf{Name} \hfill [email protected]
\\ Role \href{github.com/user}{GitHub} | \href{linkedin.com/in/user}{LinkedIn}

\section*{Technical Skills}
Languages: Python, JavaScript, Go

\section*{Experience}
\textbf{Software Engineer} \hfill Company \textit{2023--Present}
\begin{itemize}
  \item Built APIs serving 50K daily requests
  \item Reduced pipeline time by 45\% using GitHub Actions
\end{itemize}
\end{document}

Advantages: Clean text extraction, version control friendly, consistent output.

See references/latex-templates.md for full templates (entry-level, senior, full-stack, DevOps).

LinkedIn Optimization

Section	Content
Headline	Role + key value proposition
About	3-line summary: expertise + achievement + what you seek
Skills	Match resume keywords + adjacent skills
Projects	Links to deployed projects

See references/linkedin-optimization.md for full guide.

Role-Specific Approaches

Stage	Focus
Junior (0-2 yr)	Projects first, coursework, open source
Mid (3-5 yr)	Ownership, technical depth, growing leadership
Senior (5+ yr)	Team leadership, architecture, cross-team influence
Career Pivot	Transferable skills, ML projects prominent

See references/role-templates.md for all templates.

Common ATS Mistakes

Mistake	Fix
Multi-column template	Single-column only
Synonyms	Use exact terms from job posting
No metrics	Quantify every achievement
Too many skills	List 10-15 most relevant

Quality Checklist

• ATS score 90+ on Jobscan/resumly
• Keywords from job description matched
• All bullets have metrics
• Single-column, no graphics
• Standard section headings
• PDF compiles without errors (if LaTeX)
• LinkedIn keywords match resume

Reference Index

File	Contents
references/ats-architecture.md	ATS/AI parsing, scoring, ranking deep dive
references/keyword-strategy.md	Full keyword clusters by role
references/bullet-formulas.md	Action verbs, metric frameworks, examples
references/latex-templates.md	Entry-level, senior, full-stack, DevOps templates
references/role-templates.md	Junior, senior, career pivot approaches
references/linkedin-optimization.md	Profile sections, headline, content strategy