Ullas Das is a computer science graduate and senior technology program leader with nearly two decades of experience turning complex technical work into decisions, delivery, and working systems. His current focus brings that field experience into applied AI, computational data science, human-centered decision support, and trustworthy systems for engineering, agriculture technology, and enterprise environments.
North Carolina A&T State University Center for Cyber Defense · June 25, 2026
At the invitation of the Center for Cyber Defense at North Carolina A&T State University, I spoke with students, faculty, researchers, staff, and guests about applied AI in modern software delivery—responsible adoption, cybersecurity-aware data handling, decision intelligence, and the continuing role of human judgment.
Nearly 20 years of technical and program leadership gives me a field view of how data, tools, people, deadlines, and risk interact in real organizations.
Across software, engineering, manufacturing, and agri-tech settings, the hard part is rarely data alone. The harder problem is helping people understand what the data means, what action is safe, and when human judgment should override the system.
Focused on applied AI, computational data science, decision support, and human-centered systems for engineering, agriculture technology, nano/data-driven environments, and enterprise work.
I can help a research group move from idea to working artifact: prototype apps, dashboards, websites, demos, and clear industry-facing narratives. I also bring public speaking, stakeholder communication, negotiation, team leadership, software engineering roots, .NET/programming experience, and hands-on generative AI prototyping.
Education, service, selected writing, public communication, and creative work that connect to the research direction.
Academic foundation in computer science & engineering, with professional training across applied AI, Scrum, scaled delivery, and software systems leadership.
Invited reviewer for The International Information & Library Review, Taylor & Francis. Session Judge, SmartEarth 2025. These roles show professional service and judgment in reviewing or evaluating technical work.
Selected writing on AI-supported decision-making, workflow intelligence, and governance in complex technical environments.
Writing and film are not the center of this research profile, but they shape how I think about people, language, interpretation, and trust - all central to human-centered AI.
Selected public-facing pieces where my work in digital transformation, AI adoption, and software delivery has been discussed or translated for broader professional audiences.
I welcome conversations with faculty and research groups working in applied AI, computational data science, decision support, trustworthy AI, agriculture technology, nano/data-driven engineering, and human-centered systems. I am also considering funded graduate research pathways where my industry and prototyping experience can contribute meaningfully.
Email: leoullas@gmail.com · LinkedIn: linkedin.com/in/ullasdas
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