An exhibition of work by
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. This exhibition presents four projects, beginning with the one I co-founded.
Room 1 · The lead work
Anees Amjad · co-founder, with one other engineer
Python, GitHub Actions, Supabase, and Postgres
Role: 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.
I built the platform as one of two engineers, working on its API ingestion and data-quality workflows. View the work ↗
Room 2 · Further works
Anees Amjad · builder
Internal AI assistant; Claude API on Google Cloud Run
Brings company context from Slack, Gmail, Google Docs, and meeting notes into Slack.
Anees Amjad · builder
AI-assisted workflow, weekly
Filters energy-storage and related market signals into leadership updates.
Anees Amjad · builder
Interpretable machine learning, geospatial analysis
A workflow exploring Chicago eviction risk patterns.
Framed images are abstract illustrations, not screenshots or data.