Hi, I’m Anees Amjad.
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.
Three views of the same work follow: for hiring teams, startup teams, and collaborators.
Role and contribution first, project by project.
Co-founder, Engineering and Data
Built and deployed an internal AI assistant that brings company context into Slack, connecting information across Slack, Gmail, Google Docs, and meeting notes.
Built a weekly AI-assisted workflow filtering energy-storage and related market signals into leadership updates.
Built an interpretable machine-learning and geospatial workflow exploring Chicago eviction risk patterns.
What I’ve built on small teams.
Co-founder · one of two engineers
A nonprofit platform that helps students and early-career candidates discover, navigate, and land roles in government, from city hall to Capitol Hill. With one other engineer, I built the platform, working on API ingestion and data-quality workflows in Python, GitHub Actions, Supabase, and Postgres. See it ↗
A weekly AI-assisted workflow that filters energy-storage and related market signals into leadership updates.
An internal AI assistant I built and deployed to bring company context into Slack.
Grouped by the question each project works on, not by job title.
Helping students and early-career candidates discover, navigate, and land roles in government. I co-founded it and built its API ingestion and data-quality workflows.
An interpretable machine-learning and geospatial workflow exploring Chicago eviction risk patterns.
Filtering energy-storage and related market signals into weekly leadership updates.
Bringing company context from Slack, Gmail, Google Docs, and meeting notes into Slack, through an internal AI assistant I built.