Ian Mcelhenny is an engineering manager and software/hardware generalist with 10 years of experience building high-speed embedded C/C++/CUDA systems for UAS autonomy and edge ML. He has led small teams to design modular architectures, low-latency communication stacks, and hot-swappable configuration systems used in deployed drone and military autonomy products. His background blends electrical engineering training from Embry‑Riddle with hands-on hardware integration—designing custom drones, Jetson-based perception stacks, and RTSP/FFmpeg video pipelines. He’s shipped CUDA algorithms for point-cloud voxelization and has deep practical knowledge of Mavlink/Ardupilot, RTI‑DDS, and SWaP-constrained system tradeoffs. At Applied Intuition he now directs the core Autonomy Framework for the Acuity product line, translating research-grade capabilities into production platforms. Colleagues rely on him for system design that balances performance, safety, and pragmatic deployability.
10 years of coding experience
8 years of employment as a software developer
Bachelor's Degree, Electrical Engineering, Bachelor's Degree, Electrical Engineering at Embry-Riddle Aeronautical University
Contributions:23 commits, 41 pushes, 4 branches in 26 days
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Ian Mcelhenny - Engineering Manager at Applied Intuition