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FoundersFounders
2700

Bill Shi

Logo
Bill Shi
CEO & Co-Founder of
Pond Global Ltd. (2023)
About

Bill Shi (Feng "Bill" Shi) is Co-Founder and CTO at Pond Global Ltd., a crypto-native decentralized AI model layer built on on-chain data using graph neural network architecture.

Before founding

Bill earned a Ph.D. in Applied Mathematics from the University of North Carolina at Chapel Hill and held research and engineering roles at Amazon and The University of Chicago.

Founder Insights

Bill brings deep expertise in graph-based machine learning, having spent nearly 4 years as a Senior ML Solution Architect at TigerGraph, one of the leading graph database platforms.

Experience

At Pond, Bill co-leads the development of crypto-native AI models across security, DeFi, and NFT recommendations, backed by a $7.5M Seed round from Archetype, Coinbase Ventures, Delphi Ventures, and Near Foundation.

Scale & Impact

Pond's security model for predicting malicious blockchain addresses achieves an accuracy of 0.936, and its models are actively deployed on protocols including Zora and Gearbox.

2700

Bill Shi

Pond Global Ltd.
Co-Founder
Logo
Bill Shi

Company(s)

Pond Global Ltd.

Industry

SaaS

Year Founded

2023

Stage/Funding

Seed • $7.5M

Company Location

us

Connect

About

Bill Shi (Feng "Bill" Shi) is Co-Founder and CTO at Pond Global Ltd., a crypto-native decentralized AI model layer built on on-chain data using graph neural network architecture.

Before founding

Bill earned a Ph.D. in Applied Mathematics from the University of North Carolina at Chapel Hill and held research and engineering roles at Amazon and The University of Chicago.

Founder Insights

Bill brings deep expertise in graph-based machine learning, having spent nearly 4 years as a Senior ML Solution Architect at TigerGraph, one of the leading graph database platforms.

Experience

At Pond, Bill co-leads the development of crypto-native AI models across security, DeFi, and NFT recommendations, backed by a $7.5M Seed round from Archetype, Coinbase Ventures, Delphi Ventures, and Near Foundation.

Scale & Impact

Pond's security model for predicting malicious blockchain addresses achieves an accuracy of 0.936, and its models are actively deployed on protocols including Zora and Gearbox.

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