// system overview

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.

Drawn by
Anees Amjad
Program
MSCAPP, UChicago
Systems
4
Rev
v04

Stage in the system Stage I built

SYS-01

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. I built the platform as one of two engineers.

  1. My work · IngestAPI ingestion
  2. My work · ValidateData-quality workflows
  3. OutputGovernment roles for students and early-career candidates
stack:
Python · GitHub Actions · Supabase · Postgres
site:
joinpublicpath.com

Other systems

SYS-02

Ourea Brain

Built and deployed

Built and deployed an internal AI assistant that brings company context into Slack, connecting information across Slack, Gmail, Google Docs, and meeting notes.

  1. SourcesCommunication and document sources
  2. My work · BuildAI assistant on Google Cloud Run, using the Claude API
  3. OutputAnswers in Slack
SYS-03

Energy Market Intelligence

Built

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

  1. SourcesEnergy-storage and related market signals
  2. My work · FilterWeekly AI-assisted workflow
  3. OutputLeadership updates
SYS-04

Chicago Eviction Risk

Built

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

  1. My work · ModelInterpretable machine learning
  2. My work · MapGeospatial workflow
  3. OutputChicago eviction risk patterns