Vetted Integration Testing Professionals

“QA tester based in Egypt with experience across web/mobile/app testing plus SQL/database, API, and performance testing. Interested in transitioning into console game testing (PlayStation/Xbox/Nintendo) despite no direct TRC/XR/LOT experience, and has used ChatGPT to quickly upskill and convert automation from Puppeteer to Playwright using a Page Object Model.”

“Full-stack engineer and Scrum Master who led a major monolith-to-microservices migration, including a micro-frontend Angular architecture using Native Federation and staged integration into the legacy app. Also built a React + TypeScript “Business Risk” product featuring a metadata-driven dynamic dashboard/forms layer backed by Spring Boot + GraphQL, with strong QA practices (unit/integration/E2E via Cypress), CI/CD, and feature toggles.”

“Full-stack developer who has led end-to-end delivery of web applications using React/TypeScript with Node/Express and SQL databases. Notably modernized a legacy Java applet ERP system by redesigning it in React, iterating based on user feedback to balance new UX improvements with existing user workflows.”

“Full-stack engineer who built an end-to-end healthcare logistics application on a Microsoft services stack, delivering Spring Boot microservices and a responsive React frontend. Strong focus on production concerns—API performance tuning (indexing/caching/pagination) and microservice reliability (timeouts/retries/circuit breakers)—with Dockerized deployments and standardized Jenkins CI/CD.”

“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”

“Full-stack engineer working on a medical practice SaaS, who owned an end-to-end charge entry module handling patient charges/payment workflows and complex client-side data transformations. Also built a fintech rating platform with real-time WebSocket streaming and TradingView-based charting, and has 10 years of university experience mentoring student "startup" capstone projects under tight deadlines.”

“Frontend engineer (~4 years) who led an admin dashboard for potato farmers end-to-end, integrating real-time and historical weather data to drive disease-severity predictions. Built scientifically validated calculation pipelines (FAO Penman-Monteith, late blight models), rigorous Cypress/unit testing, and print/PDF-ready reporting, while optimizing performance and API load with debouncing, caching, and feature-flagged rollouts.”

“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”