Software • AI • Security

Nicholas Vroman

Focused on AI systems, mobile product development, and cybersecurity research, with ongoing work in agentic AI vulnerabilities and real-world software applications.

Nicholas Vroman

Projects

Purdue University Master's Thesis 2026

Workflow for optimizing indirect prompt injection in agentic AI systems.

View Thesis

Memvy

Software developer for cross-platform mobile app focused on collaborative memory sharing.

View on App Store

Cooking App

Developed a AI powered cooking-focused application to explore user-friendly interfaces, recipe workflows, and AI applications in everyday software design.

Amazon AI Vulnerabilities

Identified vulnerabilities in AI systems and unsafe model behaviors.

AI Trading

Exploring algorithmic and AI-driven financial decision systems.

Blockchain Applications

Work on distributed systems including election-focused blockchain research.

Contact

Email: vromannicholas@gmail.com

I am happy to discuss any of these projects and am always looking for new ideas, collaborations, and interesting technical challenges.