Grackle Command Consulting

AI · Software · Defense

Building field-ready systems where demos are not enough

I build AI systems that survive contact with the field.

Grackle Command Consulting is for teams working on hard, messy, real-world technical problems — edge AI, computer vision, mission software, robotics, sensors, low-SWaP hardware, and prototypes that need to become operational systems.

I am not here to make slide decks about innovation. I build the thing, harden the thing, and help get it in front of the people who actually need it to work.

Contact

Edge AI That Actually Runs

Computer vision and ML systems built for constrained hardware, intermittent connectivity, and ugly real-world data. Model optimization, TensorRT acceleration, sensor integration, evaluation, and deployment on edge compute.

Mission Software Without the Theater

Tactical software, backend systems, APIs, data flows, and modular frameworks for teams that need working capability fast — not a six-month architecture debate.

Hardware-Aware Prototyping

Mechanical, electrical, embedded, and software integration for systems that have to leave the bench. Edge compute housings, sensor payloads, microcontrollers, field demos, and ruggedized prototypes.

Built by someone who has already done it.

Cleared Software/AI Engineer with tactical experience leading AI, software, and hardware development across defense-focused programs.

I founded and led development of Ark at Striveworks — an edge-deployed AI platform that helped secure multiple DoD-funded efforts. That work covered the whole stack: mission requirements, product architecture, computer vision, model optimization, field demos, tactical software, and the hardware needed to make edge AI useful outside a clean lab environment.

My advantage is range—from strategy to execution. I talk to users, design the system, write the software, tune the model, debug the hardware, and explain the tradeoffs to leadership without turning the whole effort into process theater.

If the problem is ambiguous, constrained, underdefined, or stuck between research and deployment, that is the kind of work I am built for.