Building scalable Quality Engineering platforms for UI, API, database, accessibility, visual, and end-to-end system validation. Expert in Playwright, PyTest, Docker, and CI/CD-integrated automation pipelines.
QA Automation Engineer passionate about automation architecture, quality engineering practices, test reliability, and maintainable testing systems. I design modern automation frameworks using Playwright, Python, PyTest, Docker, GitHub Actions, SQLAlchemy, and Allure Reporting with CI/CD-integrated execution pipelines.
- 🧪 Testing expertise: UI, API, Database, Accessibility, Visual, E2E
- 🏗️ Framework design: Page Object Model, Request Builders, Schema Validation, Contract Testing
- 🤖 AI in QA: Building AI-augmented tools for requirement analysis, test generation, and failure diagnostics
- 🐳 Infrastructure: Docker, Docker Compose, GitHub Actions, Parallel Execution
- 📊 Reporting: Allure Reports, Structured Logging, Trace Collection, Execution Analytics
Production-inspired Quality Engineering platform designed around modern SDET practices and multi-layer validation.
Engineering Highlights:
- 🎭 Playwright + PyTest automation platform supporting UI, API, database, accessibility, visual, and end-to-end testing
- 📐 Reusable Page Object Model architecture with browser abstraction and environment-driven execution
- 🔗 API automation framework with request builders, authentication clients, schema validation, and contract testing foundations
- 🗄️ Database validation layer using SQLAlchemy with reusable query execution and assertion utilities
- ♿ Accessibility validation using axe-core and automated accessibility scanning
- 📸 Visual regression testing with baseline comparison workflows
- 📝 Structured logging, observability utilities, execution metrics, and reporting integrations
- 🐳 Containerized execution using Docker and Docker Compose
- ⚙️ CI/CD workflows for smoke, regression, scheduled execution, and artifact collection
- 📊 Allure reporting with screenshots, traces, environment metadata, and execution analytics
Architecture Layers:
UI Automation • API Testing • Database Validation • Accessibility Testing • Visual Testing • Reporting & Observability • Docker Execution • CI/CD Automation
Tech Stack:
Playwright • Python • PyTest • FastAPI • SQLAlchemy • SQLite • Docker • Docker Compose • GitHub Actions • Allure Reports • pytest-xdist • Axe-Core
AI-augmented Quality Engineering platform that helps QA engineers and SDETs analyze requirements, generate API test suites, and diagnose automation failures — using AI as an accelerator, not a crutch.
Features:
| Module | Status | Description |
|---|---|---|
| Requirement Analysis | ✅ Working | Upload product requirements, get structured test cases, boundary values, and edge cases via AI |
| API Test Generation | ✅ Working | Paste an OpenAPI spec, get ready-to-run pytest test suites generated by AI |
| Failure Analysis | 🔜 Coming | Analyze test run logs and pinpoint root causes |
Key Design Decisions:
- 🤖 Provider-agnostic AI layer — business modules never know which provider is used. Supports Ollama (local/offline) and OpenRouter (cloud — GPT-4o, Claude, Gemini)
- 📝 Prompt templates as versioned Markdown files — no hardcoded prompt strings in Python. Edit prompts without code changes
- 🧩 Feature-first modular architecture — each capability is an independent module with strict no-cross-import rules
- ⚡ Async-first — FastAPI async endpoints, SQLAlchemy 2.0 async sessions, httpx for provider communication
- 🗃️ Single-table embedded JSONB schema — sessions, inputs, and outputs in one
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Tech Stack:
Python 3.12 • FastAPI • Pydantic v2 • SQLAlchemy 2.0 • PostgreSQL 16 • React 19 • TypeScript • Vite • TanStack Query • Tailwind CSS • Docker Compose • Alembic • Ollama • OpenRouter • structlog • httpx • 194+ Tests
Live demo: cyphermorgan.github.io/cypherpilot
Note: The GitHub Pages site is a static UI preview. API features require a running backend.
Automation framework supporting UI, API, database, and end-to-end workflow validation.
Highlights:
- 📐 Modular automation architecture using Selenium, PyTest, and Page Object Model design
- 🔗 API automation using Requests, Postman, and Newman
- 🗄️ Database validation using SQLite
- 🐳 Dockerized execution using Selenium Grid and Docker Compose
- ⚡ Parallel execution with pytest-xdist
- ⚙️ GitHub Actions CI/CD integration
- 📊 Allure reporting with screenshots, logs, and execution artifacts
Tech Stack:
Python • Selenium • PyTest • Requests • Postman • Newman • SQLite • Docker • Selenium Grid • GitHub Actions • Allure Reports
Languages
Python • TypeScript • SQL • JavaScript
Automation & Testing
Playwright • Selenium WebDriver • PyTest • pytest-xdist • API Testing • Requests Library • Postman • Newman • Data-Driven Testing • Cross-Browser Testing • Regression Testing • End-to-End Testing
Quality Engineering
Accessibility Testing (axe-core) • Visual Regression Testing • Database Validation (SQLAlchemy) • Schema Validation • Contract Testing • Test Reporting & Analytics • Test Architecture Design • Page Object Model • Quality Engineering Platforms
DevOps & CI/CD
Docker • Docker Compose • GitHub Actions • CI/CD Pipelines • Parallel Execution • Containerized Testing • Selenium Grid
Reporting & Observability
Allure Reports • Structured Logging (structlog) • Trace Collection • Screenshot Capture • Execution Analytics
Backend & Database
FastAPI • SQLAlchemy 2.0 • PostgreSQL 16 • SQLite • Alembic • Pydantic v2 • REST API Design • Async Python
Frontend
React 19 • TypeScript • Vite • TanStack Query • Tailwind CSS • shadcn/ui
AI & Infrastructure
Ollama • OpenRouter • Prompt Engineering • LLM Integration • Provider Abstraction • Jinja2 Templating • AI-Augmented Testing
Tools
Git • GitHub • Jira • Chrome DevTools • Postman • Swagger/OpenAPI • uv • Ruff • mypy • pre-commit
| Area | Expertise |
|---|---|
| Automation Framework Development | Designing scalable, maintainable test frameworks from the ground up |
| Playwright Automation | Modern browser automation with cross-browser, auto-wait, tracing, and network interception |
| API Testing & Validation | Request builders, schema validation, contract testing, auth clients |
| Database Testing | SQLAlchemy-based validation, query execution, data integrity checks |
| Accessibility Testing | axe-core integration for WCAG-standard automated scanning |
| Visual Regression Testing | Baseline comparison workflows for pixel-perfect validation |
| Dockerized Test Execution | Reproducible, scalable containerized environments |
| CI/CD Test Automation | Smoke, regression, scheduled execution, artifact collection |
| AI-Augmented QE | AI-powered requirement analysis, test generation, failure diagnostics |
Who is Cypher Morgan?
Cypher Morgan is a QA Automation Engineer and SDET specializing in building scalable Quality Engineering platforms for UI, API, database, accessibility, visual, and end-to-end system validation. Expert in Playwright, PyTest, Docker, GitHub Actions, and Allure Reporting with CI/CD-integrated execution pipelines.
What automation frameworks do you use?
I specialize in Playwright with PyTest for modern automation frameworks, and also have extensive experience with Selenium WebDriver, Requests library for API testing, Postman, Newman, and data-driven testing approaches. All frameworks follow the Page Object Model (POM) design pattern for maintainability.
What is the Nexus Quality Engineering Platform?
The Nexus Quality Engineering Platform is a production-inspired QE platform built with Playwright and PyTest supporting UI, API, database, accessibility, visual, and end-to-end testing. Features Docker containerized execution, CI/CD via GitHub Actions, Allure reporting with screenshots and traces, SQLAlchemy-based database validation, axe-core accessibility scanning, and baseline comparison visual regression. View on GitHub.
What is cypherpilot?
cypherpilot is an AI-powered Quality Engineering platform that helps QA engineers analyze requirements, generate automated API test suites, and diagnose automation failures. Features a provider-agnostic AI infrastructure supporting Ollama (local) and OpenRouter (cloud), FastAPI async backend, React + TypeScript frontend, Docker Compose deployment, and 194+ automated tests. Live demo | GitHub.
What types of testing do you specialize in?
UI automation (Playwright, Selenium) • API testing & validation (Requests, Postman, Newman, schema validation, contract testing) • Database testing (SQLAlchemy, SQLite, PostgreSQL) • Accessibility testing (axe-core, WCAG) • Visual regression testing (baseline comparison) • End-to-end workflow validation • Cross-browser testing
Are you open to remote QA roles?
Yes. Actively open to remote QA Automation Engineer, SDET, Quality Engineer, and Software Test Engineer roles, with a primary focus on Python-based QA automation and Quality Engineering positions.
What CI/CD tools do you use?
GitHub Actions for CI/CD pipelines (smoke, regression, scheduled, artifact collection) • Docker & Docker Compose for containerized environments • pytest-xdist for parallel execution across multiple CPU cores.
| Role | Type |
|---|---|
| QA Automation Engineer | Remote |
| SDET | Remote |
| Quality Engineer | Remote |
| Software Test Engineer | Remote |
| Python-based QA Automation | Remote |
| AI-Augmented Testing Roles | Remote |
Playwright Automation • Quality Engineering Platforms • API & Database Validation • CI/CD Test Infrastructure • Reliability Engineering for Tests • AI-Augmented Quality Engineering
