A selection of projects across tech, policy, and consulting that showcase how I think about product design, governance, and execution. Built through academic work, internships, and professional experience, these projects reflect my approach to solving complex, high-stakes problems.
Fall 2025
Columbia University
Emerging Technologies
Fall 2025
Columbia University
Strategic Entrepreneurship
Co-developed BeneBuddy, an AI-driven benefits navigation platform that uses conversational AI and eligibility screening to reduce administrative burdens. Included product design, user journey, competitor analysis, and a hypothetical model centered on accessibility and equity.
Designed a proactive AI-enabled women’s safety app for NYC that predicts route-level risk using real-time data, crowd signals, and user reports instead of relying only on reactive alerts. Built a full model including market sizing (4.6M TAM), unit economics, and go-to-market strategy.
Fall 2025
Columbia University
Data Analysis for Policy Research Using R
Evaluated whether the Farm-to-Fork Strategy agricultural climate policy reduced nitrous oxide emissions using multi-source datasets, visualizations and event-study charts, implemented in R.
Spring 2025
Columbia University
AI: A Survey for Policymakers
Authored a technical policy analysis on how major platforms deploy AI and ML tools (e.g., hash matching) to detect and remove illegal child safety content at scale. Evaluated systems such as PhotoDNA and ML-based classifiers alongside privacy, encryption, and liability tradeoffs.
Spring 2025
Columbia University
Cyber Risks and Vulnerabilities
Evaluated the security, ethical, and governance tradeoffs of facial recognition technology, weighing public safety and identification benefits against risks like misidentification, and data breaches.