π Learning Tracker
This repository tracks my hands-on learning and applied work across QA, Cloud, and Programming. The focus is on practice, repetition, and evidence β not theory alone.
Think of this as a season-long stat sheet, not a highlight claim.
π Current Focus Areas
- Software Quality Assurance (Manual + Automation)
- Playwright UI Automation
- CI/CD with GitHub Actions
- Cloud Fundamentals (AWS, Azure, GCP)
- Python, JavaScript, SQL
β¬ Learning Foundation β Four Pillars
My learning is built on four reinforcing pillars, each with verifiable artifacts:
Hands-on infrastructure and automation projects across AWS, Azure, and GCP
β Evidence: cloud/
Production QA testing in Agile teams (test cases, execution, defects, validation)
β Evidence: qa/
Completed coursework covering SDLC, architecture, project planning, cloud, and operations
β Evidence: education/
Multiple years of system-level troubleshooting, reliability analysis, and root-cause investigation
β Evidence: wireless-rf/
Together, these pillars form a complete, applied foundation for QA, Cloud, and DevOps-adjacent roles.
π Repository Structure (Evolving) Each folder contains written backfills, artifacts, or links that show how concepts were applied in practice.