Soroush Khadem
Software Engineer at Clay
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSoroush Khadem is a software engineer in New York with eight years of experience building perception, mapping, and calibration systems for autonomous vehicles and robotics. He has led ML-driven semantic map creation and end-to-end localization and mapping efforts at Zoox and now applies those skills at Clay. His background spans computer vision, radar/LiDAR integration, and medical image processing, with hands-on experience in C++, Python, ROS, and real-time sensor fusion. Early roles at CU Boulder, NIST, and Globus Medical show a pattern of turning research-grade algorithms into production-capable systems. Soroush combines a strong applied math and CS foundation from CU Boulder with a knack for practical signal-processing solutions that improve real-world autonomy and patient-care tools. Outside core responsibilities he’s repeatedly bridged research and product, shipping prototypes that transition into deployed capabilities.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Applied Mathematics Computer Science, Bachelor of Science - BS Applied Mathematics Computer Science at University of Colorado Boulder
Github Skills (33)
opencv10
convolutional-neural-networks10
bounding-box10
image-processing10
localization10
3d10
computer-vision10
pcl9
pytorch9
python9
machine-learning9
deep-learning9
point-cloud9
cpp8
jax8
Programming languages (6)
Github contributions (5)
skhadem/skhadem.github.io
Oct 2018 - Sep 2025
Contributions:34 pushes, 1 branch in 7 years
skhadem/3D-BoundingBox
Feb 2019 - Sep 2019
PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry
Contributions:45 commits, 37 pushes, 5 branches in 7 months
3dbounding-boxdeep-learningpytorchcomputer-vision
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