Manish Shetty
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Manish Shetty is a member of the technical staff at METR, where he works on triangulating frontier AI capabilities, including autonomous AI R&D benchmarks and evaluation methodologies. Previously, he was a research fellow at Microsoft Research. He holds a PhD in Computer Science from UC Berkeley, where he built environments and evaluations to measure long-horizon AI capabilities on software engineering tasks. He is known for work on evaluating frontier AI capabilities and software-engineering-focused AI assessments.
Updated 7 September 2026
Public sources: metr.org
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