Full-Stack Developer · QA & Test Automation · Python & Modern Web
I build scalable full-stack web applications and write automated test suites that keep them reliable in production. Full-stack development, Python/Django APIs, and Playwright/PyTest QA from one engineer.
Now: Frontend & Web Developer at Hazen TechnologiesOpen to: Full-Stack & QA roles, remote or Lahore
Clients and platforms: AnswerWeave AI, SEO Workbench, Gulf Tourism, PREP by Ecomalign, Logic Leap, Hazen Technologies, Ecomalign, GED Lawyers, Revenue Cycle Attorneys, GL Mass Torts, Ideal Homes, West Guards Security, Gloria Jean’s Coffees Pakistan
What I do
Clean frontend code, scalable backend APIs, automated test suites, and proactive security audits from one engineer.
All services →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.
Selected work
AI assistants, SaaS platforms, enterprise portals, booking engines, and high-performance web systems.
All work →Engineering & Quality
Robust applications require more than just writing code. I architect resilient backend APIs and write automated test suites so systems never break in production.
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/")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
I architect and test web systems with deep engineering fundamentals. AI speeds up initial scaffolding, while automated test suites ensure 100% production correctness.
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.
Toolbox
FAQ
Muhammad Qasim Omer is a Full-Stack Developer and QA Engineer based in Lahore, Pakistan. He builds robust web applications using Python, Django, modern JavaScript, and REST APIs, paired with automated testing (Playwright, PyTest, Cypress) and security audits. He has delivered 100+ projects and holds a BS in Computer Science from COMSATS University Islamabad.
For backend, I specialize in Python with Django and FastAPI, building RESTful APIs with PostgreSQL and MySQL. For frontend, I work with modern JavaScript, TypeScript, React, responsive CSS, and component architectures. For content-driven platforms, I also support headless and custom WordPress architectures.
I write automated end-to-end test suites using Playwright and Cypress to simulate real user interactions, and PyTest or Jest for backend unit and API testing. I pair this with exploratory manual testing to uncover UX friction, edge cases, and cross-browser discrepancies before release.
Yes. For clients who specifically require WordPress or WooCommerce, I apply full-stack engineering standards: custom theme and plugin architecture, secure API connectors, automated test validation, zero plugin bloat, and sub-second load times.
Yes. I conduct thorough code audits, OWASP vulnerability assessments, automated regression testing, and Core Web Vitals performance tuning to identify bottlenecks and fix vulnerabilities.
I configure GitHub Actions workflows that trigger linting, unit tests, and Playwright E2E browser tests automatically on every pull request. Code is only deployed when all test suites pass.
AI accelerates the drafting of repetitive test scenarios, edge-case matrices, and boilerplate code. Every AI suggestion is reviewed by hand and validated against automated test suites. Production reliability is never left to unverified AI output.
Yes. I am open to Full-Stack Developer, QA Automation Engineer, and Software Engineer roles (remote or Lahore-based), alongside high-impact client projects.
Tell me about your technical goals. I reply with system architecture, test strategy, and clear timelines.