I'm a QA Automation Engineer and researcher with expertise in AI-driven test systems, large language models (LLMs), vector search, and cloud infrastructure on AWS. Currently working as QE Engineer at Resolver Inc. (Kroll) in Toronto, Canada, where I lead software quality engineering and AI-assisted automation research.
I am a co-author of a Springer Nature book chapter on data-centric AI for psychological support, indexed in Scopus and Web of Science. My research interests span intelligent test automation, LLM integration in enterprise software, and cloud-native QA pipelines. I hold AWS certifications and I am a member of the IEEE Foundation.
Experience
Department of Development / Software Quality Assurance. Leading QA automation strategy and AI-assisted testing research. Internal research project on AI-Assisted QA Automation (2025).
Projects
Designed and developed an AI-powered platform for mental health support with an emphasis on accessibility, guided assistance, and support resources tailored to veterans and active-duty service members.
A zero-config, plug-and-play end-to-end testing framework featuring 7 CLI agents, AWS Bedrock LLM-as-Judge scoring, semantic assertions, hallucination detection, AI locator fallback, MCP server integration, security fuzzing (OWASP ZAP), mutation testing (Stryker), multi-role auth matrix, i18n, accessibility, and CI/CD pipelines with Jira sync and Slack reporting.
Education
Department of Economics and Finance
Vinnytsia College of Trade and Economics of Kyiv National University of Trade and Economics · vtec.vn.ua
Publications
Peer Reviews
Verified peer review · WoS Record ↗ · Publons ↗
Verified peer review · WoS Record ↗
Certifications & Distinctions
Memberships
Chapter contribution to Lecture Notes on Data Engineering and Communications Technologies. springer.com ↗