CV Hub
Author & Developer · 2026

CV Hub

Resume as Code. Treat your professional identity as a reproducible, versioned system.

Platforms
  • Web
  • GitHub Pages
Stack
  • Astro
  • TypeScript
  • YAML
  • Playwright
  • docx.js
  • GitHub Actions
CV Hub main page

Overview

CV Hub is not a portfolio template. It is a system. The project redefines a resume as an engineering artifact — versioned, reproducible, and deployable. Instead of maintaining fragmented representations across LinkedIn, PDF, Notion, and portfolio sites, CV Hub introduces a single declarative source of truth — a YAML file — that drives the entire output pipeline. The result is a fully automated system where one change propagates consistently across all formats and all role-specific variations.


Problem

Traditional resumes are fundamentally broken from a systems perspective. They are: - duplicated across platforms - manually synchronized - context-dependent (DevOps vs Backend vs GameDev) - not version-controlled - not reproducible This leads to drift, inconsistency, and significant maintenance overhead. From an engineering standpoint, this is equivalent to running multiple unsynchronized environments without a single source of truth.


Solution

CV Hub applies infrastructure principles to personal data. The core idea is simple: define once → generate everything → deploy automatically. A single YAML file becomes: - a live website - PDF, DOCX, and TXT artifacts - multiple role-specific CV versions - a versioned, Git-controlled professional profile The system eliminates duplication and enforces consistency by design.


Multi-profile system

Base + delta architecture

Role-specific resumes are generated using a two-layer model: base CV + delta overrides. This allows precise control over positioning without duplicating data.

Multi-profile merge pipeline

What I built

  • Static-first architecture with zero client-side JavaScript by default
  • YAML-based Single Source of Truth for all resume data
  • Multi-profile system (DevOps, GameDev, etc.) via deterministic merge pipeline
  • Multi-language support with fallback chain
  • Automated document generation (PDF via Playwright, DOCX/TXT via docx.js)
  • URL-based theme switching with shareable state
  • Fully automated CI/CD pipeline using GitHub Actions
  • Dynamic environment-aware configuration (siteUrl from GITHUB_REPOSITORY)

Architecture

The system is built as a deterministic pipeline. Data layer: - YAML files (base + profile deltas) Processing layer: - merge.mjs → produces normalized artifacts - document generators → create PDF/DOCX/TXT Presentation layer: - Astro static build → HTML output Deployment: - GitHub Actions → immutable build → GitHub Pages No runtime server. No hidden state. Every output is reproducible from source.


Engineering Decisions

  • Astro over SPA frameworks to eliminate unnecessary runtime and hydration cost
  • Static generation to guarantee performance and predictability
  • YAML over CMS to retain full control and versioning
  • URL-driven state instead of localStorage for shareability and transparency
  • Explicit delta files instead of implicit overrides to keep changes observable

Themes

Theme variations
Frosted, Light, Nordic, Peachy — controlled via URL parameter

DevOps Approach

The project treats a resume as a build artifact. Key principles: - Git-based versioning - Immutable builds - CI/CD automation - Environment-independent deployment - Zero runtime dependencies Every commit produces a fully consistent, deployable state of the system.


Trade-offs

  • No CMS — intentional trade-off for control and transparency
  • No backend — static-only architecture
  • Manual delta creation for profiles — explicit over implicit complexity
  • Limited runtime flexibility in favor of determinism

Result

  • One edit regenerates all formats across all profiles and languages
  • Fully static deployment with zero infrastructure cost
  • Fork-ready system with zero configuration required
  • Lighthouse: 100 Performance / 100 Accessibility / 100 SEO
  • Predictable, reproducible output across environments

Takeaways

CV Hub demonstrates that even non-traditional domains like resumes benefit from engineering rigor. By applying system design principles — single source of truth, deterministic pipelines, and automation — the project transforms a static document into a scalable, maintainable system. This approach generalizes beyond resumes to any domain where data consistency, reproducibility, and multi-target output matter.