I’m a graduate student in Computational Analysis and Public Policy at the University of Chicago. My work spans AI workflows, public-sector software, and applied machine learning.
Main project
PublicPath — co-founder, engineering and data
PublicPath is a nonprofit platform that helps students and early-career candidates discover, navigate, and land roles in government, from city hall to Capitol Hill.
I built the platform as one of two engineers. My part was API ingestion and data-quality workflows, in Python, GitHub Actions, Supabase, and Postgres. You can see it here.
Also
Ourea Brain
I built and deployed an internal AI assistant that brings company context into Slack, connecting information across Slack, Gmail, Google Docs, and meeting notes.
Energy Market Intelligence
I built a weekly AI-assisted workflow filtering energy-storage and related market signals into leadership updates.
Chicago Eviction Risk
I built an interpretable machine-learning and geospatial workflow exploring Chicago eviction risk patterns.