Anees Amjad · System atlas

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 workGet in touch

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

Three systems, side by side

Explanatory diagram, simplified. Read each lane top to bottom.

Ourea BrainInternal AI assistant

  1. Comes inA question asked in Slack
  2. I builtMy workApp on Google Cloud Run
  3. ThenMy workCompany context + Claude API
  4. Comes outA response in Slack

PublicPathPublic-sector careers platform

  1. Comes inListings from external job APIs
  2. I builtMy workScheduled ingestion (Python, GitHub Actions)
  3. ThenMy workClean, deduplicate, normalize, validate
  4. Comes outListings in Postgres for site search and filters

CLARITYResearch pipeline

  1. Comes inA de-identified clinical note (JSON)
  2. I builtMy workExplanatory content
  3. ThenMy workNarration (Neural TTS) and slides
  4. Comes outMy workAn MP4 video

Ourea Brain

Company knowledge, accessible through Slack.

Role
Builder · Agentic AI Intern, Ourea Energy. Built and deployed internally.
What I built
An internal AI assistant that brings company context from Slack, Gmail, Google Docs, and meeting notes into Slack, using Anthropic’s Claude API.
Observed behaviour
An early live deployment answered a Slack question using meeting-note context.

PublicPath

Making public-sector opportunities easier to find.

Role
Co-founder, Engineering and Data; one of two engineers.
What I built
API ingestion and data quality: cleaning, deduplicating, normalizing, and validating listings for search and filtering.
Project artifact
PublicPath homepage with the headline ‘Your path into public service starts here’.Project homepage (team product), captured 6 Oct 2026. Project website ↗ Job search was not loading when checked on 6 Oct 2026.

CLARITY

Turning clinical notes into patient-friendly explanations.

Role
Research Assistant, HOPE Lab, UChicago Booth.
What I built
The Python pipeline that converts de-identified clinical-note JSON into patient-friendly explanatory videos.
Output
MP4 explanatory videos. Clinical material is not public, so no example is shown.

Further entries

  • Energy Market Intelligence

    Ourea Energy

    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 · private repository

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

  • Political Narrative Navigator

    Team project, University of Chicago

    Analyzed 2,000+ presidential campaign speeches alongside YouGov data using AI-assisted text workflows.

    Political Narrative Navigator on GitHub ↗

Background

Alongside building software, I do applied research with machine learning, survey data, and geospatial analysis.

Now
Ourea Energy · Financial Health Network · HOPE Lab, UChicago Booth · PublicPath
Before
PAMS (machine learning research) · CERP (analyst)
Education
MS, Computational Analysis and Public Policy, University of Chicago (expected June 2027) · BS, Economics and Political Science, Lahore School of Economics (2024)