Production systemsProduction-Grade Software Systems
Built software under real operational constraints where correctness, reliability, and trust matter more than flash.
Work at the intersection of memory, intent, production systems, agent measurement, and safer AI alignment.
Production systemsBuilt software under real operational constraints where correctness, reliability, and trust matter more than flash.
Intent convergenceCreated a compact agent that can learn arbitrary intent and converge in only 10-12 steps using custom velocity-driven measurements.
Intent modelingStudied how intent forms, shifts, and can be measured inside agentic loops so systems can better preserve what users actually mean.
Memory architectureWorked on memory systems that help LLMs develop continuity and agency while keeping safety as the central design constraint.
Safe alignmentCreated a novel framework for measuring drift and identity vectors so alignment can be monitored as a system learns over time.
These projects all point toward the same thesis: useful AI systems need durable memory, measurable intent, and safety boundaries that can be monitored as the system changes.
Read the Oxygen AI introduction