Anees Amjad

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

I’m a master’s student in Computational Analysis and Public Policy at the University of Chicago. I build AI workflows, data pipelines, and software across energy, public service, and research.

Explore selected work Get in touch

Open to AI engineering roles, startup opportunities, and collaboration.

PublicPath homepage: ‘Your path into public service starts here’, with buttons to browse open roles and get the weekly digest.

PublicPath

Making public-sector opportunities easier to find.

Artifact
Project homepage (team product), captured 6 October 2026 · Project website ↗ Job search was not loading when checked on 6 Oct 2026.
Role
Co-founder, Engineering and Data; one of two engineers
I built
API ingestion and data quality: cleaning, deduplicating, normalizing, and validating listings for search and filtering
Tools
Python, GitHub Actions, Supabase, Postgres

Internal and research work

OUREA BRAINarchitecture sheet
sources
Slack · Gmail · Google Docs · meeting notes
runs on
Google Cloud Run · Anthropic Claude API · answers in Slack
purpose
retrieve project context; identify owners; follow up on decisions
my part
built and deployed it

Internal to Ourea Energy. An early live deployment answered a Slack question using meeting-note context.

Ourea Brain

Company knowledge, accessible through Slack.

I built and deployed Ourea Brain, an internal AI assistant that brings company context into Slack. It connects information across Slack, Gmail, Google Docs, and meeting notes to help colleagues retrieve project context, identify owners, and follow up on decisions. The application runs on Google Cloud Run and uses Anthropic’s Claude API; an early live deployment answered a Slack question using meeting-note context.

CLARITYpipeline sheet
input
de-identified clinical-note JSON
steps
explanatory content→narration + slides→MP4 video
narration
Microsoft Neural TTS
my part
built the Python pipeline

HOPE Lab, UChicago Booth. Clinical material is not public, so no output is shown.

CLARITY

Turning clinical notes into patient-friendly explanations.

As a Research Assistant at HOPE Lab, I built a Python pipeline for the CLARITY healthcare-AI project that converts de-identified clinical-note JSON into patient-friendly explanatory videos, automating narration, slide generation, and MP4 production.

Supporting work

Political Narrative Navigator dashboard: line charts by month for 2016, 2020, and 2024 comparing the share of voters rating each issue a top concern with the share of campaign speech devoted to economy, health care, immigration, climate, and national security.
Project
Political Narrative Navigator · team project, University of Chicago
Artifact
Team dashboard, from the project README · Repository on GitHub ↗
Work
Analyzed 2,000+ presidential campaign speeches alongside YouGov data using AI-assisted text workflows

  • Energy Market Intelligence

    Ourea Energy · internal

    Built a weekly AI-assisted market-intelligence workflow that filtered 50+ recurring signals across energy storage, utilities, and data centers into leadership updates on competitors, investments, and partnerships.

  • Chicago Eviction Risk

    Applied machine learning

    Built an interpretable machine-learning and geospatial workflow to explore eviction-risk patterns in Chicago.

Background

I combine software building with applied research: data platforms and AI workflows, alongside machine learning, survey analysis, and geospatial work.

  • Ourea Energy — Agentic AI Intern 2026–
  • Financial Health Network — Research Intern 2026–
  • HOPE Lab, UChicago Booth — Research Assistant 2026–
  • PublicPath — Co-founder 2026–
  • PAMS — Research Associate, ML 2025
  • CERP — Analyst 2024–25
  • UChicago — MS, Computational Analysis and Public Policy 2027 (exp.)
  • Lahore School of Economics — BS, Economics and Political Science 2024