QA Engineering
Manual, exploratory, regression and end-to-end testing across CMS, web, mobile, Android and iOS products.
I build quality into products from the beginning - combining software testing, product thinking, automation and emerging AI quality practices.
const qa = { coverage: "web · mobile · API", testing: "continuous", automation: "evolving", ai: "quality-focused" }; function release(product) { if (!qa.ready) { return "find the risk"; } return "ship with confidence"; }
I'm Dušica Antić-Rašić, a QA Engineer with 6+ years of experience in software quality and software testing. I have tested CMS platforms, APIs, desktop web applications, mobile web applications, Android and iOS products, as well as backend systems and integrations.
My experience covers manual, exploratory, regression and end-to-end testing, API testing, backend validation, data verification and test automation. I work across the product lifecycle with a strong product mindset and a growing focus on AI quality, AI testing and responsible AI.
I was the first dedicated QA professional in one of the teams I joined, where I built the QA system from the ground up - introducing processes, testing practices, documentation and quality standards. My approach goes beyond finding bugs: I focus on how products behave, how users experience them, and how quality can be built into the development process from the start.
Quality engineering across products, platforms and the full software lifecycle.
Manual, exploratory, regression and end-to-end testing across CMS, web, mobile, Android and iOS products.
Exploring how quality engineering evolves when products incorporate AI systems, evaluation, responsible AI, ethics and emerging governance practices.
Testing backend functionality, APIs, integrations, data flows and system behaviour across services.
Building and maintaining automated tests while continuously expanding automation capabilities.
Experience across six major product environments, including CMS, web, mobile and native applications.
Connect with me on LinkedIn and explore my professional background.
AI changes what we test, how we test it, and what quality actually means.
Understand the AI system, its purpose, context and risks.
Test unexpected inputs, edge cases, failure modes and unreliable behaviour.
Measure reliability, consistency, relevance and output quality.
Consider transparency, accountability, risk and compliance.
Turn findings into better products, processes and quality practices.
Manual testing · Regression · E2E · Exploratory testing · CMS · Web · Mobile · Android · iOS
Java · Selenium · Playwright · TypeScript
Postman · SQL · PostgreSQL · DBeaver · Backend · APIs · Integrations
Jira · Git · Bitbucket · TestRail · Confluence · Figma
Interested in quality engineering, AI quality or building products that people can trust?