Built an agentic payment system that lets autonomous AI agents orchestrate payments end-to-end across web2 and web3 rails — enabling routing across fiat gateways, wallets, and on-chain settlement without manual intervention.

Work included agent orchestration, payment backend services, web3 integration, and transaction flow design — from multi-currency routing and ledger reconciliation through to smart contract settlement, with compliance-aware validation and real-time status tracking.

Shipped an offline consecutive payment protocol for digital currencies that enables payments without network connectivity. Built for blockchain-issued assets, CBDC systems, RTGS environments, and digital cash, it introduced a novel double-spend prevention mechanism at the point of interaction.

Work included cryptographic attestations that resolve once connectivity returns, protocol design, backend implementation, and institutional infrastructure — with formal verification of the offline transaction model and hardened key management.

Engineered decentralized AI infrastructure and AI-enabled payment flows with Thales — architecture input, feasibility analysis, and technical advisory that enabled agentic payments and secure AI execution environments.

The work explored trusted execution environments for AI inference, verifiable agent decision trails, and payment authorization frameworks where agents act within defined policy boundaries — mapping autonomous AI behavior, cryptographic trust, and real-time settlement.

Launched the architecture and implementation for a DePIN-oriented network — practical infrastructure for decentralized physical use cases that provides verifiable uptime and economic alignment between providers and consumers.

The work involved distributed infrastructure design, backend systems, blockchain integration, and network-level coordination — spanning node discovery, resource attestation, and incentive-aligned participation models.