https://github.com/yjbae-sqa/quality-engineering-portfolio
Quality Engineer with experience in web, mobile, and AI platforms, specializing in test automation and system validation.
https://github.com/yjbae-sqa/quality-engineering-portfolio
2026 quality-engineering
Last synced: 3 months ago
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Quality Engineer with experience in web, mobile, and AI platforms, specializing in test automation and system validation.
- Host: GitHub
- URL: https://github.com/yjbae-sqa/quality-engineering-portfolio
- Owner: yjbae-sqa
- Created: 2026-03-12T01:09:09.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2026-03-17T01:17:23.000Z (3 months ago)
- Last Synced: 2026-03-17T12:56:45.890Z (3 months ago)
- Topics: 2026, quality-engineering
- Homepage:
- Size: 21.5 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Quality Engineering Portfolio
Quality Engineer with experience in **AI platforms, distributed systems, and automation-driven quality validation**.
This repository demonstrates how product quality issues can be analyzed, validated, and managed through engineering-driven QA practices.
The focus is on **Quality Engineering**, including:
* system validation
* test automation
* CI/CD pipeline verification
* quality metrics and release validation
Sensitive implementation details and internal architectures are intentionally omitted.
---
# Repository Overview
This repository is organized into four main areas.
| Area | Purpose |
| ------------------- | ---------------------------------------- |
| Case Studies | real-world quality validation examples |
| Automation | test automation approaches and tools |
| Domains | product domains and system types |
| Quality Engineering | testing strategies and quality practices |
---
# Validation Approach
The validation approach used across projects typically follows this workflow:
```mermaid
flowchart TD
A[System Change]
B[Risk Identification]
C[Test Strategy Definition]
D[Test Execution & Validation
#40;Automation / Smoke / API#41;]
E[CI/CD Test Execution
#40;Docker / Pipeline#41;]
F[Quality Metrics Review
#40;Coverage / Failure Rate#41;]
G[Release Decision]
A --> B --> C --> D --> E --> F --> G
```
This approach helps ensure that testing activities focus on **high-risk areas and critical system behaviors**.
---
# Case Studies
Simplified case studies based on real-world quality engineering work.
| Case Study | Description |
| ------------------------------------ | -------------------------------------------------- |
| AI/MLOps Model Deployment Validation | validating model deployment and inference services |
| API Regression Testing Strategy | designing regression testing for high-risk APIs |
| Test Automation Framework Design | building maintainable UI/API automation frameworks |
| CI/CD Pipeline Validation | validating container-based deployment pipelines |
Each case study explains:
* problem context
* validation scope
* engineering approach
* key testing scenarios
📌 **Start here if you want to understand how quality problems were analyzed and validated.**
---
# Test Automation
Automation practices used to validate system behavior and support regression testing.
### Web UI Automation
* Selenium
* Playwright
* cross-browser testing
* user workflow validation
### Mobile Automation
* Appium
* Android UI testing
* mobile UI regression testing
* device-based validation
### API Automation
* Postman / Newman
* API regression testing
* service integration validation
### CI/CD Testing
* pipeline validation
* automated test execution
* container-based test environments
### Performance Testing
* Newman-based lightweight performance validation
* JMeter basic load testing
---
# Engineering Domains
Experience across multiple product and technology domains.
### AI / MLOps Platforms
* AI inference API validation
* data pipeline verification
* containerized model deployment validation
* Kubernetes-based model serving verification
### Computer Vision & 3D Applications
* image processing pipeline validation
* 3D rendering validation
* sensor and device interaction testing
* performance validation for real-time graphics
* Unity-based AR/VR application environments
### Video Streaming Platforms
* streaming pipeline validation
* playback stability testing
* encoding / decoding verification
* network condition testing
### E-Commerce Platforms
* checkout workflow validation
* payment API testing
* regression testing for release cycles
---
# Quality Engineering
Quality engineering practices used to reduce release risk and maintain product reliability.
### Test Strategy
* risk-based testing
* regression test planning
* release validation strategy
### Release Quality Gate
* validation coverage review
* automated test result analysis
* critical workflow verification
### Quality Metrics
* validation coverage metrics
* automated test pass rate
* regression execution status
* release readiness indicators
### Test Design Techniques
* boundary value analysis
* equivalence partitioning
* state transition testing
---
# Repository Structure
```
qa-engineering-portfolio
│
├─ README.md
│
├─ case-studies
│ ├─ ai-mlops-model-deployment-validation
│ ├─ api-regression-testing-strategy
│ ├─ test-automation-framework-design
│ └─ ci-cd-pipeline-validation
│
├─ automation
│ ├─ ui-test-automation
│ ├─ mobile-test-automation
│ ├─ api-test-automation
│ ├─ ci-cd-testing
│ ├─ performance-testing
│ └─ test-frameworks
│
├─ domains
│ ├─ ai-mlops
│ ├─ computer-vision-3d
│ ├─ video-streaming
│ └─ ecommerce
│
└─ quality-engineering
├─ test-strategy
├─ risk-based-testing
├─ regression-testing
├─ release-quality-gate
├─ quality-metrics
└─ test-design-techniques
```
---
# Notes
This repository focuses on **engineering approaches to quality validation** rather than specific internal implementations.
Examples are simplified to highlight testing strategies, validation flows, and quality engineering practices.