Alex Gilbert is a research engineer based in the San Francisco Bay Area with 11 years of hands-on experience building perception, communication, and foundation-model systems across industry and academia. A Stanford M.S. graduate with a UCLA computer engineering background, he has shipped production-grade 3D perception and tracking solutions for autonomous systems and manufacturing, and now develops large-scale neural models of visual cortex at Enigma. His résumé bridges signals and systems to modern deep learning—evidenced by modem and FPGA work at SpaceX, physics-guided computational imaging research at UCLA, and applied ML deployments at Plato and NVIDIA. Comfortable moving from low-level C/firmware and MATLAB simulations to PyTorch model development, he repeatedly translates physics-informed insights into state-of-the-art algorithms and datasets.
11 years of coding experience
6 years of employment as a software developer
University of California, Los Angeles
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at Stanford University
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