Scaling the Human Engine for Embodied AI.

I am currently heads-down building the engine for the next generation of Embodied AI. If you are an ML researcher working on World Models or an operator obsessed with scale, I'd love to chat.

Bio

I sit at the rare intersection of AI research rigor and massive-scale operations.

I have spent my career building engines that coordinate human behavior at scale in the real world. My current focus is applying distributed network architecture and complex incentive design to solve the infrastructure challenges of Embodied AI.

Previously, I engineered the growth of IndiGG (acquired by Kratos Gaming), where I scaled a distributed network from 0 to 1 million+ active participants and drove $2.5M in ARR. I proved that well-designed incentive structures can turn human activity into high-value outcomes.

This operational background, combined with my residency at Lossfunk (where I co-developed Commons Keeper and open-sourced datasets for social intelligence), gives me a dual perspective: the academic rigor to understand what models need to learn, and the operational capability to mobilize the networks required to teach them.

I am currently building the infrastructure layer for Embodied AI in stealth.

Past Work

• Stealth Labs | Founder & CEO
  Building the coordination layer for Embodied AI (launching soon).
• Lossfunk | AI Safety & RL Research
  Developed 'Commons Keeper', an open source RL environment and public goods effort to test social intelligence in LLMs.
• IndiGG / Kratos | Founding Team
  Scaled human network to 1M+ users and $2.5M in ARR. Managed complex human-incentive layers at scale. Acquired in 2023.
• HYTOPIA | Core Operator
  Instrumental in kickstarting network effects and growth flywheels.

Personal Interests

• Physical Intelligence
• World Models
• Incentive Design
• Multi-Agent RL
• AI Safety & Cooperation
• Labor Economy Simulation

Public Talks

• 2023: Global Guild Outlook - A glimpse into the future of guilds.

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