Divya Sai Jaladi
( South Carolina Department of Motor Vehicles )
Divya Sai Jaladi is a technology professional and researcher with over 10+ years of experience in software engineering, enterprise web application development, and data-driven systems, specializing in Artificial Intelligence, Machine Learning, Data Governance, Data Security, Cybersecurity, and cloud-based enterprise applications. She has extensive experience designing and developing scalable web solutions using .NET technologies, ASP.NET MVC, RESTful APIs, SQL Server, and modern web frameworks, while implementing secure architectures aligned with enterprise security practices. Throughout her professional career with organizations including South Carolina Department of Motor Vehicles (SCDMV), Wells Fargo, Kansas Department of Corrections, and Citi Bank, she has contributed to the development, deployment, and maintenance of enterprise-grade applications supporting financial services, government systems, and large-scale public sector platforms, participating in full Software Development Life Cycle (SDLC) processes including system design, development, testing, deployment, and production support in Agile environments. In addition to her industry experience, she has authored multiple peer-reviewed research publications exploring the application of Artificial Intelligence, Machine Learning, healthcare analytics, enterprise data governance frameworks, and cybersecurity strategies, with research contributions focusing on predictive analytics, intelligent decision-support systems, protection of sensitive information, and scalable machine learning architectures for large datasets. Her work also investigates the integration of AI with healthcare systems, enterprise data ecosystems, and modern governance models, contributing to interdisciplinary discussions on intelligent computing and digital transformation. Divya holds a Master of Science in Computer Science from Kent State University and a Bachelor of Engineering in Computer Science Engineering from Jawaharlal Nehru Technological University, and her professional expertise spans AI systems, machine learning applications, secure enterprise software development, data governance architecture, cloud-enabled web platforms, and intelligent data-driven solutions that bridge academic research with real-world enterprise technology implementation.
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ITI 2026 | NIT Agartala, India | Nov 13-14, 2026 | SCOPUS-indexed