Research, engineering, and innovation across cryptography, digital identity, privacy, and decentralized systems.
Applied and theoretical cryptography spanning symmetric and asymmetric primitives, hash-based commitments, signature schemes, and protocol design. Focused on building practical systems that translate cryptographic guarantees into deployable infrastructure for identity, authentication, and verifiable data.
Designing consensus mechanisms, execution layers, and interoperability frameworks for distributed ledgers. Experience covers Layer 1 and Layer 2 architectures, modular blockchain design, rollups, state-transition models, and the economic and security trade-offs that shape protocol viability.
Building infrastructure aligned with the Web5 thesis — combining decentralized identity, personal datastores, and verifiable credentials so users own their identity and data across applications. Work spans DID methods, DWN-style data nodes, and credential exchange flows.
Research and engineering on self-sovereign identity, decentralized identifiers, verifiable credentials, and selective disclosure. Focus on production-grade identity layers that interoperate with existing identity ecosystems while removing reliance on central authorities.
Designing systems that minimize, shield, and selectively reveal user data using techniques such as zero-knowledge proofs, secure multi-party computation, blind signatures, and confidential compute. Emphasis on usable privacy that does not compromise auditability.
Practical applications of zk-SNARKs, zk-STARKs, and related proof systems for identity, authentication, compliance, and verifiable computation. Focus on production integrations — proof generation pipelines, circuit design considerations, and verifier deployment.
Architecting resilient, fault-tolerant systems across nodes, regions, and trust boundaries. Expertise covers consensus, replication, sharding, eventual consistency, service mesh design, and operating distributed software in adversarial network conditions.
Frameworks for accountability, transparency, and human oversight in AI and agentic systems. Research focuses on embedding cryptographic verifiability into model behavior, policy enforcement, and audit trails so autonomous systems remain inspectable and constrained.
Systems where computation can be cryptographically proven correct without re-execution or trust in the operator. Applications include verifiable inference, off-chain compute attestations, and proof-carrying data for high-assurance pipelines.
Advising founders, research labs, and engineering teams on architectural direction, protocol design choices, and long-horizon technology roadmaps. Focused on translating frontier research into durable infrastructure that can withstand multiple platform cycles.
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Engagements span research, architecture review, protocol design, and advisory work for founders and engineering teams building cryptographic and decentralized infrastructure.
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