Mohammed Sheikh
Sr. Software Engineer at Waymo
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolMohammed Sheikh is a senior software engineer based in Berkeley with eight years of experience applying deep learning to real-world perception problems across industry and research. He has driven ML work at Google and Waymo on depth, semantic segmentation, lighting estimation, VIO/SLAM and 2D→3D generative modeling, balancing compact edge models with larger teacher networks for AR and mapping. Earlier roles at Standard Cognition and Scotty Labs focused on large-scale detection, tracking, sensor fusion and accelerating training pipelines, and his PhD-era work introduced algorithmic improvements for simulating avalanches and large-data spectral analysis. Comfortable moving between C++ systems, scalable training stacks, and novel neural architectures, he also has hands-on experience building hybrid spatial data structures and production-ready pipelines. Colleagues rely on him for turning theoretical insights into performant, deployable vision systems that work in constrained environments.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at University of California, BerkeleyUniversity of Illinois Urbana-ChampaignGithub contributions (5)
mohashei/CS_DeepLearning
Feb 2018 - Feb 2018
Contributions:31 commits, 29 pushes, 1 branch in 5 days
mohashei/mohashei.github.io
Mar 2019 - Jan 2022
Contributions:59 pushes, 1 branch in 2 years 9 months
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