Rob Sare
Machine Learning Engineer (TL) at X, the moonshot factory
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRob Sare is a machine learning engineer with 11 years of experience specializing in computer vision and multimodal modeling, currently applying AI to visualize and optimize power grids at X, the moonshot factory and working on ML projects at Google. He holds a Ph.D. in Geological Sciences from Stanford and built open-source Python tools to scale computer vision methods for earthquake geomorphology, publishing several research papers. His background blends geospatial data, geometry, and remote sensing across elevation, imagery, and multispectral LiDAR, enabling practical ML solutions for large-scale earth and infrastructure problems. At Google and Mineral.ai he translated research into production-ready models, demonstrating a track record of moving complex algorithms into real-world systems. Based in San Francisco, he pairs rigorous academic training with hands-on engineering in Python and DS/ML, and is as comfortable analyzing geospatial datasets as he is troubleshooting deployed models. Outside work he values time outside, reflecting a persistent interest in field-based problems that inform his data-driven approaches.
11 years of coding experience
3 years of employment as a software developer
BS, Geophysical Sciences, BS, Geophysical Sciences at University of ChicagoPh.D., Geological Sciences, Ph.D., Geological Sciences at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (50)
scipy10
template-matching10
python10
signal-processing10
pandas10
stress10
feature-detection10
numpy10
parallel-computing10
dask10
scikit-learn10
geomorphology10
edge-detection10
pydata10
lidar10
Programming languages (5)
Github contributions (5)
stgl/pymccrgb
May 2019 - Aug 2020
Multiscale curvature classification of point clouds with color features
Contributions:6 releases, 296 commits, 14 PRs in 1 year 2 months
classificationpoint-cloudclassification-algorithmlidarphotogrammetry
stgl/poly3d
Sep 2015 - Mar 2020
Boundary element method for modeling faults and fractures discretized into polygonal elements, reproduced from M.S. thesis of A. Thomas, 1993
Contributions:16 commits, 14 pushes, 1 branch in 4 years 7 months
boundary-element
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