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Shawn Cheng
Partner at ConsenSys Mesh
Shawn Cheng is a Partner at ConsenSys Mesh, focusing on Web3 technology, particularly DAOs (Decentralized Autonomous Organizations) and NFTs (Non-Fungible Tokens).12 He is based in the New York City Metropolitan Area and has been with ConsenSys Mesh since September 2020.2
Professional Background
Shawn has extensive experience in the digital and blockchain space:
- Currently serves as a Board Member for Liquality and Tribute Labs2
- Previously worked at ConsenSys in various roles, including Partner at ConsenSys Labs2
- Prior to ConsenSys, he held positions at Vayner/RSE, VaynerMedia, BBDO, and Razorfish12
Education and Expertise
- Holds a Bachelor of Arts in Communications with a minor in Marketing from San Diego State University12
- Specializes in portfolio management, DAOs, NFTs, DeFi (Decentralized Finance), and the use of governance tokens2
Investment Activities
Shawn is actively involved in the crypto investment space:
- Member of several Investment DAOs, including The LAO, Neon DAO, Neptune, Ready Player, MUSE0, Dark Horse, Fingerprints, and C0C0 DAO2
- Focuses on helping founders launch Web3 businesses to democratize the internet of value2
Personal Interests
Shawn is passionate about the potential of Web3 technologies to transform data ownership, self-sovereignty, and the ability to shape the world through decentralized systems.2
Highlights
Went to the Golden Arches and found no @doodles only Mariokart 🤷🏻♂️ https://t.co/wQuWxLUzGb
Was traveling last week and just learned that @RedHat (IBM-owned open source software firm) is acquiring @neuralmagic which optimizes AI models to run faster on commodity processors and GPUs. HUGE!
If this goes through this would be a big step forward for open source. https://t.co/OTzbqs888Y
This also points to the importance of smaller models and the inclusion of sub-prime hardware that aren't H100s or Blackwells. :)
Training customization is sure to continue for enterprises, teams, and individuals.
Edge and cloud will play a big role in AI flexibility and privacy.
