Enterprise Technology Integration student at Penn State, working where business strategy meets the systems that run it — AI governance, project delivery, and process automation.
College of Information Sciences and Technology. Coursework centers on AI governance and risk, project and program management, and enterprise systems adoption. Expected graduation Spring 2028.
Self-directed trading focused on options strategy and risk management — sharpened how I think about probability and decision-making under uncertainty.
Active member across all three, contributing to campus community and philanthropic organizing.
Evaluated three AI systems used across underwriting and claims for governance maturity, override rates, and bias risk. Argued that a declining human override rate signaled eroding judgment, not model improvement.
Led risk heat-mapping, WBS documentation, and cost/quality planning for a simulated bank project with a five-person team, synthesizing stakeholder interviews into a final delivery plan.
Interactive dashboard visualizing override-rate trends on a synthetic AI-decision dataset, flagging when a falling override rate likely signals automation bias rather than model quality.
Takes a task list and risk register as input and auto-generates a probability/impact heat map and WBS visualization, turning a manual planning exercise into a reusable tool.
Scores top-performer trades on a prediction market platform by edge and conviction, flagging survivorship bias and crowded positions.
Small automation linking form intake, task tracking, and notifications — documented as a mini case study in cutting manual handoffs. Integration in miniature.