For hiring teams and collaborators
Memorandum
- TO:
- AI engineering recruiters, startup teams, and potential collaborators
- FROM:
- Anees Amjad, graduate student, Computational Analysis and Public Policy, University of Chicago
- RE:
- Building AI tools and data products for real-world decisions
Bottom line up front
I build AI tools and data products for real-world decisions. My work spans AI workflows, public-sector software, and applied machine learning.
Record of work
-
PublicPath.
A nonprofit platform that helps students and early-career candidates discover, navigate, and land roles in government, from city hall to Capitol Hill.
- Role
- Co-founder, Engineering and Data
- Contribution
-
Built the platform as one of two engineers, working on:
- API ingestion; and
- data-quality workflows.
- Tools
- Python, GitHub Actions, Supabase, Postgres
- Reference
- joinpublicpath.com
-
Ourea Brain.
Built and deployed an internal AI assistant that brings company context into Slack, connecting information across Slack, Gmail, Google Docs, and meeting notes.
-
Energy Market Intelligence.
Built a weekly AI-assisted workflow filtering energy-storage and related market signals into leadership updates.
-
Chicago Eviction Risk.
Built an interpretable machine-learning and geospatial workflow exploring Chicago eviction risk patterns.
Recommended action
Reach out by email, GitHub, or LinkedIn (below).