Summary
Alex Elium is a Senior Staff Engineer specializing in applied research and Edge AI with a decade-plus background in embedded systems, DSP, and IoT. He builds low-power sensing and signal-processing products from firmware to product-level releases, having shipped multiple commercial devices and led teams through DevOps and automated testing transformations. At Edge Impulse he focuses on bringing ML to constrained hardware, while prior roles include inventing a 99%-reduced patch update algorithm and implementing acoustic Doppler and BPSK modems in fixed-point DSP. Alex thrives on hard problems that require collecting, interpreting, and acting on real-world data, and he accelerates teams by adopting open-source tooling, CI, and modern branch/PR workflows. Based in Camarillo, CA, he pairs an MS from UC Berkeley and hands-on engineering across underwater acoustics to satellite-linked data loggers, an unusual mix that informs his pragmatic approach to Edge AI.
8 years of coding experience
15 years of employment as a software developer
MS Electrical Engineering and Computer Science, MS Electrical Engineering and Computer Science at University of California, Berkeley
BS Electrical Engineering, BS Electrical Engineering at Georgia Institute of Technology