Chief Technical Architect

My career trajectory reflects a deliberate and progressive evolution from applied software engineering to enterprise architecture research and artificial intelligence, spanning nearly a decade of sustained scholarly contribution. I developed foundational expertise in modular .NET enterprise design, culminating in peer-reviewed work on composite application architectures and service-oriented decomposition patterns published in the Journal of Scientific and Engineering Research (2017). This foundation informed subsequent research into secure data governance, where I proposed the Secure Data Governance Model (SDGM) a multi-layer governance framework integrating role-based access control, automated lineage extraction, metadata stewardship, and audit observability for SQL Server Reporting Services environments — published in the Journal of Artificial Intelligence, Machine Learning and Data Science (2018). I contributed to enterprise API modernization through pattern-driven WCF-to-REST migration strategies, followed by model-driven data pipeline engineering research leveraging Entity Framework constructs with SQL Server execution layers (2020). By 2021, my research addressed intelligent root cause analysis in distributed enterprise systems, integrating AIOps, distributed tracing, statistical inference, and dependency graph reasoning. As the field advanced toward cognitive automation, I developed the Cognitive Decision Automation Framework integrating large language model reasoning with SQL-driven evidence and enterprise rule engines alongside governance-embedded LLM workflow architectures addressing regulatory compliance and auditability. My 2025 publications on self-improving enterprise platforms through AI-driven orchestration established a structural blueprint for autonomous digital ecosystems. Recognized with the Asia International Research Award in Information Technology (2024), I have now authored over 25 peer-reviewed publications, advancing enterprise systems engineering at the intersection of scalability, governance, and artificial intelligence.