Services
Modern web applications, scalable backend APIs, automated E2E test suites, security audits, and continuous CI/CD reliability engineered from the ground up.
Writing clean, responsive front-ends and scalable backend APIs using Python (Django/FastAPI) and JavaScript, building maintainable component systems.
Building end-to-end, integration, and unit tests using Playwright, PyTest, and Cypress so every critical user flow and API contract is verified before launch.
Designing RESTful APIs, secure authentication flows (JWT/OAuth), webhook processors, and third-party integrations that stay fast under load.
Proactive vulnerability assessments, OWASP web security checks, Core Web Vitals optimization, and automated performance profiling.
Setting up automated testing workflows with GitHub Actions, containerized local environments, and reliable cloud deployments.
Engineering & Quality
From database design and secure REST APIs to automated Playwright test suites, every layer is engineered for reliability, performance, and clean maintainability.
Clean, maintainable APIs built with Python (Django / FastAPI) with strict schema validation, secure authentication, and optimized database queries.
# api/views.py - Validated REST API Service
@api_view(['POST'])
@permission_classes([IsAuthenticated])
def process_lead(request):
serializer = LeadSerializer(data=request.data)
serializer.is_valid(raise_exception=True)
lead = LeadService.dispatch(serializer.validated_data)
return Response({'status': 'verified', 'id': lead.id}, status=201)Automated browser and API tests with Playwright and PyTest catching defects, regressions, and broken workflows before they ever reach production.
# tests/test_e2e_flow.py - Playwright E2E Suite
@pytest.mark.asyncio
async def test_lead_submission(page: Page):
await page.goto("/contact")
await page.fill("#f-name", "Alex Vance")
await page.fill("#f-email", "alex@enterprise.com")
await page.click("button[type='submit']")
await expect(page.locator(".status-verified")).to_be_visible()
assert page.url.endswith("/confirmation/")Security and testing
Systematic review of your application code, dependencies, and endpoints with hands-on verification and remediation.
Comprehensive test suites integrated into CI/CD pipelines so every deployment is guaranteed stable.
Search, Performance & AI Visibility
Engineering quality directly impacts discoverability. Search engines and AI assistants reward fast, semantically structured, accessible web applications.
Content that exists directly in the DOM, so search engines and AI crawlers parse it without client execution overhead.
Structured JSON-LD (Person, Organization, Service, WebPage, FAQ) that explicitly communicates entity relationships to search engines.
Sub-second page speeds, optimized asset pipelines, efficient database queries, and 95+ Lighthouse ratings.
Clean URL architecture, dynamic sitemaps, canonical links, and automated broken-link regression tests.
Structured robots.txt and dedicated llms.txt summaries designed for OpenAI, Claude, and Perplexity crawlers.
Continuous tracking with Search Console, automated lighthouse CI, and real-user response time profiling.
Why one engineer
| Typical Agency / Standard Dev | Full-Stack QA Engineer (Me) | |
|---|---|---|
| Testing & QA | Manual spot-checks; edge-case bugs slip into production | Automated E2E suites, PyTest coverage, and systematic exploratory QA |
| Architecture | Bloated CMS plugins and fragile glue code | Clean full-stack code, decoupled APIs, and scalable data models |
| Ownership | Frontend blames backend; backend blames QA | One engineer owning frontend, backend, and quality assurance |
| Security & Stability | Treated as an afterthought until an incident occurs | Built-in OWASP compliance, input sanitization, and security audits |
| Velocity & Handoffs | Weeks lost in communication between separate teams | Rapid delivery with direct technical alignment and no game of telephone |
How it runs
We establish technical requirements, API schemas, data models, and an edge-case test matrix before writing code.
Frontend interfaces and backend services engineered with clean, modular code and decoupled architecture.
Playwright E2E tests, PyTest unit suites, cross-browser audits, and OWASP security checks run automatically.
Automated pipeline release to production with zero-downtime deployment, monitoring, and long-term stability.
AI, engineered with tests
AI helps scaffold boilerplate test cases, boundary values, and mock data. I review and verify every assertion.
Automated linters and AI models flag potential edge cases and security leaks before manual peer review.
Every AI-suggested implementation is backed by automated tests that must pass before any deployment.
Writing test specifications first ensures any generated code meets precise functional requirements.
Clear technical documentation, architecture diagrams, and plain-English tradeoff explanations.
AI is a tool for velocity; architectural decisions, security audits, and production quality remain 100% human-owned.
Tell me about your technical goals. I reply with system architecture, test strategy, and clear timelines.