GitHub Actions

Intermediate2+ years experienceCloud & DevOps

Solid understanding with practical experience in multiple projects

My Experience

CI/CD platform for automating software workflows. Experienced in building automated testing, linting, and deployment pipelines.

Technical Deep Dive

Core Concepts I'm Proficient In:
CI/CD Pipelines: Automating build, test, lint, and deployment workflows for continuous integration
Testing Automation: Running pytest test suites on pull requests to catch bugs before merge
Linting Integration: Integrating Ruff and other linters into automated quality checks
Deployment Automation: Deploying static sites and applications to Vercel and other platforms
Reusable Workflows: Creating reusable workflow components and leveraging GitHub Actions caching for faster builds
Dependency Management: Managing npm/Bun dependencies with caching strategies to speed up pipeline execution
Advanced GitHub Actions Patterns:
Portfolio Website Deployment: Building workflows for testing, linting, and deploying this portfolio website to GitHub Pages/Vercel
Cache Optimization: Implementing dependency caching that persists across workflow runs for faster build times
Multi-Job Workflows: Structuring workflows with parallel jobs for testing, linting, and building
Bun Integration: Migrating from npm to Bun eliminated many unnecessary CI/CD errors and improved pipeline reliability
Secrets Management: Managing API keys and deployment tokens securely through GitHub Secrets
Branch Protection: Configuring status checks that require workflow success before allowing merges
Complex Problem-Solving Examples:
Portfolio CI/CD Pipeline Evolution:
Built comprehensive GitHub Actions workflows for this portfolio website that handle testing, linting (ESLint, TypeScript checking), and deployment on every push. The pipeline initially used npm, which caused frustrating, unnecessary errors in CI/CD environments - dependency resolution issues, package lock conflicts, and inconsistent behavior between local and CI environments. Migrating to Bun transformed the experience: workflows became faster (Bun's installation is significantly quicker), more reliable (consistent behavior across environments), and errors essentially disappeared. Implemented reusable workflow patterns where dependency installation and caching happen once, then multiple jobs (test, lint, build) reuse the cached dependencies, dramatically reducing pipeline execution time.
Cybersecurity Platform Quality Pipeline: Designed GitHub Actions workflows for the AI Data Breach Hub that automate pytest test execution and Ruff linting on every pull request, ensuring code quality before merging. The workflows run the complete test suite including async pipeline tests (web scraper validation, database integration tests, API mocking) and comprehensive linting checks across all Python modules. Configured workflows to fail fast on test failures or linting errors, preventing broken code from reaching production. Implemented caching strategies for Python dependencies and test artifacts, reducing average workflow runtime and providing quick feedback to developers.
Areas for Continued Growth:
Scheduled Workflows: Learning cron-triggered workflows for periodic tasks like data refreshes or health checks
Advanced CD Patterns: Implementing blue-green deployments, canary releases, and gradual rollouts that don't disrupt active users
Zero-Downtime Deployment: Mastering deployment strategies for major applications that require updates without user-facing impact
Matrix Builds: Exploring matrix strategies for testing across multiple Python versions, OS environments, or configuration variants
2+ years
Experience
1
Projects
Intermediate
Proficiency