I am Anowar Shahadat, a seasoned technology professional with over 17 years of experience in software engineering, data warehousing (ETL), quality assurance, testing, and automation, specializing in autonomous AI/ML-based testing frameworks for cloud environments. Recognized as an innovator in the field, I was granted an EB-2 National Interest Waiver (Permanent Residency) by the U.S. government for my groundbreaking work on the AI-driven Dynamic Test Coverage (DTC) Framework—a next-generation software testing methodology that revolutionizes efficiency and accuracy in quality engineering.

With a proven track record of leading large teams and executing complex projects, I have consistently delivered measurable results, including reducing testing time by 30% and decreasing bug rates by 20% in large-scale projects. My expertise in process automation, data analysis, internal governance practices, and innovative solution integration enables me to accelerate testing delivery, ensure robust quality controls, and drive stakeholder satisfaction.

As an Informatica(ETL) Certified Developer and Microsoft Certified Professional(MCP) in SQL Server, I bring deep technical expertise in data integration, transformation, and database management, further enhancing my ability to deliver end-to-end solutions for complex systems.

Beyond testing, I provide consultancy services for business-critical internal audit and governance practices in cross-functional team environments. I ensure that IT control frameworks are robust, compliant, and ready for external IT audits or due diligence for investments, helping organizations mitigate risks and achieve operational excellence.

As a leader, I am passionate about leveraging advanced tools and technologies to optimize workflows, enhance operational efficiency, and foster business growth. I am eager to bring my expertise in next-gen software quality engineering, IT control framework-based internal governance practices, and cross-functional leadership to drive innovation, excellence, and sustainable success.