Mohamed (Moe) Chizari
Federal analytics and production AI. Most of the last decade in federal work.
I build analytics and machine learning that federal teams can defend: named sources, models tested on data they have not seen, and the training that keeps them running after I leave.
chizari.me is the main address; the sister names carry the same record.
Selected work
2016 to 2024, through LMI, Grant Thornton, a Census contract and DHS.
Agency names are where the work was done. They are not endorsements. One dot stands for about 500 people or facilities.
Each role in detail · Interactive demos · Project write-ups, 2024 to 2025
One chart, with its file
Every number on this site has a public source. This is what that looks like.
3,611
Federal AI use cases in OMB's 2025 inventory, by the development stage each agency reported: 1,479 pre-deployment, 1,040 deployed, 440 pilot, 314 retired and 338 with no stage given.
Source: OMB, 2025 Federal Agency AI Use Case Inventory, the individually reported use cases file (github.com/ombegov), counted by stage at publicspheretech.com. The file was read on 28 October 2026 and copied here on 4 November 2026.
Download the counts as CSV (five rows; each carries the counting rule and the source address).
Now
CEO and Chief AI Architect, Seven Sky Consulting, since 2025. To work with me, start with One data story, ready to post: a question answered from public data, as a picture, a short film and captions, $600 fixed price (launch price $350 for the first three buyers; prices read from sevenskyconsulting.com/offers/ on 4 November 2026). Two larger offers are on the same page.