Actuate
Real-time multi-agent runtime that executes arbitrary tasks, enabling pay-per-action tool use via x402 and a live observability dashboard.
Arjun K. Iyer
I'm a junior at UMD majoring in Computer Science and Mathematics, building AI systems and cryptographic infrastructure for quantum-era security.
Projects
Real-time multi-agent runtime that executes arbitrary tasks, enabling pay-per-action tool use via x402 and a live observability dashboard.
Multilingual real-time voice AI that routes patients to in-network care using insurance-grounded retrieval and automated scheduling workflows.
Emergency dispatcher training simulator that runs live call scenarios and generates automated coaching feedback from transcript analysis.
Wearable multimodal caregiving assistant that learns patient-specific routines from egocentric audio/video and guides caregivers in real time.
High-performance UCI chess engine with optimized search, pruning, and parallel execution for fast, strong analysis.
Internal platform + resume scanner/scorer to streamline applicant workflows.
Event web infrastructure for registrations and conference communication.
Analytics tooling with AI-assisted insights and source-traceable outputs.
Technical Focus
Current Focus
Building systems that can act, pay, verify, and adapt under real-world constraints.
I'm interested in the runtime layer for autonomous systems: how agents discover capabilities, pay for them, use them safely, and remain observable while they act.
Contact
If you have a question, opportunity, or idea, send a note and I'll get back to you.