Founder
Cofounder of SoraChain AI, focused on scaling federated learning trustlessly.
Instructor
Swayam Shah
Technology thought leader building privacy-preserving AI systems that scale across organizations.
As a founder wearing multiple hats, I use AI as a daily execution layer to ship more while staying focused on what matters most. This workshop distills those lessons, constraints, and practical patterns so building and pursuing ambitious goals becomes both sharper and more enjoyable.
Speaker
Featured speaker on “Trustless Federated Learning” at NVIDIA FLARE Day.
Recognition
National Award (Netherlands) for best blockchain research thesis.
Bio
Swayam Shah is a technology leader working on privacy-preserving, collaborative AI. He is the cofounder of SoraChain AI, focused on scaling federated learning “trustlessly” so institutions can train shared models while keeping data local and governed.
His work centers on federated learning system design, including orchestration, aggregation, evaluation, and incentives, and how it connects with security and governance primitives such as confidential computing and verifiable coordination.
Swayam mentors builders and teams on AI/Web3 convergence, including token engineering and ecosystem strategy for sustainable, self-reinforcing networks with federated learning as a core application domain.
What I Help With
- Designing federated learning architectures that work across organizational boundaries, not just demos.
- Choosing the right privacy and security approach: secure aggregation, TEEs/confidential computing, and governance constraints.
- Building incentive and coordination layers for multi-party training, so participants contribute and stay engaged.
- Translating research into product with deployment loops, evaluation, and stakeholder alignment.
Selected Work and Signal
- Cofounder, SoraChain AI, building infrastructure to scale federated learning collaboratively.
- SoraChain AI recognized as the most promising AI/Web3 project at the intersection by DMCC (Dubai) and ByBit.
- Speaker: “Trustless Federated Learning” at NVIDIA FLARE Day.
- Mentorship: blockchain strategy, AI tooling, token engineering, multi-agent orchestration, and federated learning.
- Writing and research exploration on federated learning + blockchain architectures.
Coaching Formats
- 1:1 strategy calls for founders and technical leads.
- Sprint advisory for architecture and execution planning.
- Async design and technical review for systems and roadmap decisions.
If you’re building privacy-preserving AI, a federated learning product, or an AI x Web3 network, I offer coaching and advisory across architecture, strategy, and execution.
Coaching & Advisory