Public claim
The portfolio shows aggregate investment scale and the Pittsburgh slice while keeping source-restricted firm-level tables private.
Pablo Zavala · AI Safety Evaluation · Research Engineering
A Block Center project mapping more than ten billion dollars in public and private AI investment across eleven metropolitan economies for regional AI-readiness research. The Pittsburgh slice covers 6.3 billion dollars across 133 firms.
Role: Research and data pipeline contributor at CMU's Block Center.
The portfolio shows aggregate investment scale and the Pittsburgh slice while keeping source-restricted firm-level tables private.
The public RAG evaluation shows retrieval-evaluation discipline; the restricted investment dataset remains outside that verification boundary.
A reader should treat this as a public summary of restricted research materials; the underlying dataset remains unreleased.
Regional AI policy often talks about national totals, while investment actually lands through specific metros, firms, and institutions.
The project builds a structured map of public and private AI investment across eleven metropolitan economies, including a deeper Pittsburgh slice.
I contributed to data engineering and RAG-supported evidence review, with company and regional records kept in source-restricted materials.
The research maps more than ten billion dollars in AI investment, including 6.3 billion dollars across 133 Pittsburgh firms.
Company-level tables and maps stay private because the source data is restricted. The public page uses aggregate evidence only.
The public RAG evaluation harness documents retrieval-evaluation discipline; the restricted investment totals remain outside that verification boundary.