Anatolii Husakovskyi is a highly accomplished Senior Automation QA Engineer with over five years of experience designing and maintaining scalable, high-reliability test infrastructures for software companies in the United States, Canada, and Europe. He holds a Master's degree in Computer Software Engineering and specializes in advanced quality engineering for distributed systems, microservice architectures, and AI-driven platforms.

His core expertise includes the development of robust end-to-end, API, and integration test suites using Cypress, Playwright, Selenium, and custom-built tools. Anatolii has led the implementation of automated test strategies in complex CI/CD environments, achieving up to 95% reductions in test flakiness, multi-fold decreases in execution time, and test coverage consistently exceeding 85%. On one enterprise-grade platform, he automated over 1,500 test cases, prevented 98.8% of bugs from reaching production, and helped secure $20M in revenue through QA stability. Within engineering organizations, his infrastructures are frequently adopted as internal standards and considered foundational to long-term QA strategy. Anatolii has also led QA teams, mentored engineers, and contributed to internal tooling refinement, with direct impact on test reliability and maintainability.

In addition to his engineering achievements, Anatolii is an active and respected contributor to the global QA community. He has authored peer-reviewed articles in international scientific journals on test automation and quality assurance methodologies, with particular focus on the integration of AI tools into testing workflows. He is regularly invited to serve as a judge at international hackathons and professional competitions – a role that reflects his recognized authority in the field and professional reputation among peers. Anatolii is a Fellow of Hackathon Raptors, a member of the Association for Computing Machinery (ACM), the Institute of Electrical and Electronics Engineers (IEEE), and the IEEE Computer Society – respected professional organizations that recognize sustained excellence and high-level contributions to computing and engineering.

Currently, he is developing AI-driven test automation frameworks that integrate large language models with real-time browser interfaces. His work continues to shape emerging practices in software quality assurance and is regarded as a valuable contribution to the evolution of automation engineering.