Ryan Williams@rwilliamspbg-ops
1
Events attended
1
Submissions made
United States
30+ years of experience
About me
I’m Ryan, a technical architect, AI researcher, and the founder of Sovereign Mohawk Proto LLC. I build resilient, sovereign infrastructure for distributed machine learning and kernel-bypass networking. My focus is on creating systems designed for environments where data cannot be centralized and sovereignty matters—leveraging tools like post-quantum cryptography, zero-knowledge proofs, and Byzantine-tolerant architectures. Recently, my work has centered on developing decentralized spatial engines and open-source distributed inference fabrics that allow developers to pool mixed hardware on local networks. When I'm not writing Rust or orchestrating federated intelligence ecosystems, I host the podcast Sovereign Mohawk: The Future of Private Infrastructure and write sci-fi.
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AURA - Field Safety Co-Pilot
AURA is a voice-first safety co-pilot built for workers on active job sites, where hands are busy, gloves are on, and stopping to type a report isn't realistic. Instead of a form, workers just talk. AURA listens in real time, understands what's being reported, walks them through safety procedures step by step, and can flag hazardous conditions on the spot, like an out-of-range pressure or temperature reading, before they escalate. Under the hood, AURA uses AssemblyAI's real-time Voice Agent API for speech-to-text, conversational reasoning, and spoken replies. Reported hazards and near-misses go through a deliberate confirmation step before saving, so nothing gets submitted by accident, and every action is logged for audit. Once submitted, reports flow into a supervisor dashboard where safety officers can review incoming reports, approve or reject them, spot recurring patterns across sites, and track maintenance follow-ups. The result is a system where the person closest to the hazard can report it in seconds, without breaking focus on the task at hand, and the people responsible for site safety get a clear, real-time picture of what's happening in the field.
30 Sep 2026
