Who I am

I am Anowar Shahadat, a seasoned technology professional with over 17 years of experience spanning software engineering, data warehousing (Informatica/ETL), data quality management, IT controls, governance, compliance testing, and automation. I specialize in autonomous AI/ML-based testing frameworks for cloud environments and lead initiatives in Responsible AI Development, driven by my Data and AI Governance Guardrails framework—ensuring fairness, transparency, and compliance across AI system lifecycles. Recognized as an innovator, I was granted a U.S. EB-2 National Interest Waiver (Permanent Residency) for my pioneering work on the AI-driven Dynamic Test Coverage (DTC) Framework, a breakthrough methodology that redefines efficiency and accuracy in quality engineering.

With a proven track record of leading large teams and complex programs, I have delivered measurable outcomes such as reducing testing time by 30% and lowering defect rates by 20% in enterprise-scale projects. My expertise in AI governance, process automation, internal controls, and data-driven compliance enables faster delivery, improved trust in AI systems, and higher stakeholder confidence.

As an Informatica (ETL) Certified Developer and Microsoft Certified Professional (MCP) in SQL Server, and currently pursuing CDMP (DAMA DMBOK2), I possess strong capabilities in data integration, transformation, and analytics—critical pillars for responsible AI deployment.

Beyond advanced compliance test automation, I bring extensive experience in business-critical internal audit and data governance within cross-functional environments. I ensure that IT control frameworks are robust, audit-ready, and aligned with evolving AI compliance standards, enabling organizations to mitigate risks and maintain operational excellence.

As a technology leader, I am passionate about embedding ethical AI principles into every layer of system development. I aim to drive sustainable innovation by uniting next-gen software quality engineering, governance-aligned internal audit, and cross-functional leadership under a cohesive AI accountability framework.

Fore more please visit https://www.linkedin.com/in/anowar-shahadat/