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FIG.09 Selected Engineering Work

Engineering problems, not portfolio tiles.

Representative problem areas from delivery work, described at the engineering level.

01

Campaign Automation & Release Quality

Automation and release validation for workflow-driven campaign systems.

Coverage across the full campaign lifecycle — connection requests, welcome messages, campaign messages and prospect replies — with automated regression suites gating recurring deployments. Included a cross-stack investigation into campaign status transitions that intermittently stopped updating, traced through frontend behaviour, backend processing and PostgreSQL data to isolate and verify the root cause.

technical focus
  • Test Automation
  • Playwright
  • TypeScript
  • GraphQL
  • API Testing
  • PostgreSQL
  • E2E Validation
  • Workflow Automation
  • CI/CD
  • Release Quality
02

Real-Time Messaging & Integration Reliability

Testing real-time communication, integrations, asynchronous workflows and data consistency.

Validation of event-driven and asynchronous paths keeping conversations, replies and campaign statuses synchronised across the integration layer, backend services and portal. Investigated a thread ID mismatch that caused conversations to disappear from the portal despite records existing in the database, tracing the fault across services from development through to production.

technical focus
  • API Testing
  • REST APIs
  • PostgreSQL
  • SQL
  • Integration Testing
  • WebSockets / Webhooks
  • Distributed Systems
  • Test Data Management
  • Asynchronous Validation
  • Data Consistency
  • Node.js
  • TypeScript
  • JavaScript
03

Performance, Scalability & Platform Readiness

Performance validation and scalability testing for distributed application components.

Smoke, stress and combined load scenarios executed against critical backend and integration services to establish safe operating thresholds ahead of deployment. Findings, including Kubernetes HPA behaviour under load, were analysed against response times and failure rates and fed directly into scaling decisions and production readiness sign-off.

technical focus
  • Performance Engineering
  • k6
  • Load Testing
  • Concurrency Testing
  • Stress Testing
  • Capacity Validation
  • Production Readiness
  • Grafana
  • Kubernetes
  • Docker
  • GitLab CI/CD

Client details remain confidential.

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