Peter Tueller is a scientist and embedded-systems engineer with a decade of experience building edge computing solutions for challenging maritime and unmanned platforms. Currently at NIWC Pacific, he leads vendor integration and real-time collaborative autonomy scoring while deploying optimized ship-detection models on power-constrained NVIDIA Jetson UAVs. His PhD work at UC San Diego produced practical 3D sensing tools like FishSense and advanced seafloor mapping techniques, bridging field experiments from Guatemala to synthetic aperture sonar research. Peter combines hands-on prototyping of embedded sensors and RTOS/mesh-network solutions with multi-agent autonomy, enabling researchers to extract new information from harsh environments. He’s equally comfortable writing microcontroller firmware as designing system-level evaluation metrics, and often focuses on making perception algorithms run within strict power and latency budgets. Based in San Diego, he brings a rare mix of academic rigor and operational fielding experience to ocean technology and autonomy projects.
10 years of coding experience
9 years of employment as a software developer
University of California San Diego
BSE, Computer Systems Engineering, 3.99, BSE, Computer Systems Engineering, 3.99 at Arizona State University
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