I build AI tools and data products for real-world decisions.

I’m Anees Amjad, 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.

Legend

PublicPath

Co-founder, Engineering and Data

A nonprofit platform that helps students and early-career candidates discover, navigate, and land roles in government, from city hall to Capitol Hill.

My part
Built the platform as one of two engineers: API ingestion and data-quality workflows
Stack
Python, GitHub Actions, Supabase, Postgres

Ourea Brain

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

Built a weekly AI-assisted workflow filtering energy-storage and related market signals into leadership updates.

Chicago Eviction Risk

Built an interpretable machine-learning and geospatial workflow exploring Chicago eviction risk patterns.