I build systems that turn complex data into reliable decisions through structured AI reasoning.
At Goodway Group, I design and operate distributed analytics and optimization systems at scale, integrating multi-source data pipelines, event-driven architectures, and LLM-powered reasoning into production. My work focuses on LLM-guided reasoning systems, data infrastructure, and agentic architectures, where statistical signal generation and model inference are tightly coupled to produce consistent, interpretable outputs.
I earned my Ph.D. in Computer and Information Sciences from the University of Delaware as a member of the Software Analysis and Compilation (SAC) Lab, where I studied conversational agents and human-centered AI under Lori Pollock, with publications at ICSE and ITiCSE.
I design systems where data, reasoning, and infrastructure operate as a unified layer, enabling scalable decision-making beyond prototype AI.
InjectEd
Multi-agent system that injects, scores, and selects vulnerabilities in student code to generate structured security learning outcomes.
Automated Insights
Deterministic analytics system that separates signal computation from constrained LLM interpretation to generate decision-ready insights.