Andrew Catellier is a Senior Machine Learning Engineer based in Boulder with nearly a decade of experience applying ML, signal processing, and computer vision to real-world problems from secure online identity to precision agriculture. He has a strong research-to-production track record at Nametag, GeoVisual Analytics, and the Institute for Telecommunication Sciences, where he designed no-reference speech quality models (r>0.91) and led perceptual audio/video experiments and standards engagement. Comfortable across hardware, sensors, and software stacks, he’s built high-precision sensor packages and solved multi-domain infrastructure challenges to scale field-facing solutions. A senior IEEE member with an MS in Electrical Engineering, he pairs rigorous academic foundations with pragmatic engineering and a knack for turning perceptual research into deployable systems — and, per his GitHub quip, occasionally fools humans into thinking he’s human.
10 years of coding experience
15 years of employment as a software developer
Master of Science (MS), Electrical, Electronics and Communications Engineering, Master of Science (MS), Electrical, Electronics and Communications Engineering at University of Wyoming
Contributions:2 PRs, 33 pushes, 3 branches in 3 years 6 months
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