I build control systems
for intelligent software.
Orchestration pipelines, execution tracing, and supervision interfaces where humans direct AI agents performing complex work.
My work sits at the intersection of control systems, software infrastructure, and AI reasoning. I design execution environments where humans express intent and supervise AI agents performing long-running workflows — orchestration pipelines, execution tracing, context curation, and supervision interfaces that enable reliable, engineer-approved outcomes.
The architecture mirrors patterns from robotics and industrial automation: machine telemetry, operator interfaces, and human-in-the-loop supervision — applied to software systems where AI agents are the actuators and humans remain the decision-makers.
9+ years of professional experience spanning cross-platform app development (React Native across 5 platforms), AI-assisted engineering toolchains, and cloud-native microservices. Self-taught engineer, CTO of CloudPresser, and contributor to React Native. My approach to AI agent supervision draws from control-systems patterns in robotics and industrial automation.
Currently writing a five-part series on control systems for intelligent software.