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.

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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.

View on App Store

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.