Sam Siewert - Embry Riddle and U. of Colorado Research and Education Team
Chico, California, United States
Summary
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SeniorSam Siewert is an O’Connell Endowed Professor and applied researcher with 11+ years in academia and a multi-decade background building real-time, embedded and scalable computing systems. He specializes in AI-driven sensor fusion, machine vision for UAS traffic management, and parallel/quantum approaches to high-performance computing, blending deep learning (CNNs, ViT, RNNs) with robotics and human-machine teaming. A seasoned educator, he has designed and taught courses from real-time embedded systems to GPU/CUDA parallel programming and continues to co-lead an embedded systems program at CU Boulder while holding faculty roles at Cal State Chico and past appointments at Embry-Riddle and UAA. Sam has founded and consulted through startups (Transductive, Trellis-Logic) and authored industry and Coursera materials on real-time embedded systems, signaling a habit of turning research into practical tools and curricula. His career spans mission-critical aerospace software (Spitzer telescope, JPL) to industrial firmware and storage architectures, revealing a rare combination of space-grade engineering and hands-on product delivery. Based in Chico, CA, he pairs deep theoretical work with pragmatic system-building, often exploring quantum advantage alongside classical parallel scaling.
11 years of coding experience
Github Skills (2)
raid9
xor8
Programming languages (2)
Github contributions (5)
siewertserau/Examples-RAID-Unit-Test
Oct 2014 - Jan 2019
Simple XOR RAID-5 Example Code
Contributions:17 commits, 2 PRs, 15 pushes in 4 years 4 months
raidxor
siewertserau/hamming
Mar 2018 - Dec 2018
Contributions:4 pushes, 1 branch in 9 months
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