Dominus
Building the trusted physical-data layer needed for increasingly autonomous chemical manufacturing. The work begins with measurement health, process-state estimation, and composition sensing.
Building toward autonomous industry.
I build systems that make the physical world more observable, intelligent, and autonomous.
I’m a chemical engineering student and builder working across industrial intelligence, software, and machine learning. I’m now building Dominus, beginning with a more trustworthy physical-data layer for process control.
See selected workSelected work
Companies, products, industry, and research.
Moxy
A solo-built consumer health and habits app combining mobile engineering, data systems, product design, and distribution. Moxy is available on the App Store under darkma LLC.
Industrial systems
Optimization and reliability work in plant environments taught me that advanced control is only useful when the underlying measurements can be trusted by engineers and operators.
Blackworm and leech biomechanics
Coauthor of research on how predatory leeches capture fast-escaping and entangling blackworms through spiral entombment, published in Integrative and Comparative Biology.
About
The path into physical intelligence.
The through-line is a need to understand how things work, then make them work better.
My path has moved from making games and studying biological systems to working in chemical plants, shipping a consumer app, and building an industrial company.
Plant environments made one constraint especially clear: intelligence depends on observation. When critical measurements cannot be trusted, even strong models and controls lose their value. That insight is the foundation for Dominus.
I study Chemical and Biomolecular Engineering at Georgia Tech and work across software, machine learning, sensing, and process systems.
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Making
I started by building games, digital worlds, and systems for the pleasure of seeing an idea work.
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Science
Research pulled that instinct into biology, computation, and the behavior of physical systems.
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Industry
Plant work made the gap between a good model and a dependable real-world system impossible to ignore.
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Now
Dominus brings those threads together around a more observable and autonomous physical world.
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