Shivesh Khaitan

Senior Machine Learning Engineer at Aurora

San Francisco, California, United States
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Summary

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Senior
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Shivesh Khaitan is a Senior Machine Learning Engineer based in San Francisco with eight years of experience building perception and decision systems for robotics and autonomous vehicles. He blends academic rigor from an MS in Robotics at Carnegie Mellon with hands-on production work at Aurora and InstaDeep, and published an ICLR 2024 paper on using latent diffusion models for long-horizon offline robotic planning. His background spans computer vision, reinforcement learning, sensor fusion and multi-robot planning, with internship experience at Google’s Everyday Robots and contributions to ROS2/Gazebo integrations. Comfortable moving research into real-world stacks, he has designed ML pipelines in JAX/Python and engineered optimization objectives for real-time motion planners, an uncommon mix that accelerates deployment of advanced autonomy.
code8 years of coding experience
job4 years of employment as a software developer
bookBachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Manipal Institute of Technology
bookMaster of Science - MS, Robotics, Master of Science - MS, Robotics at Carnegie Mellon University
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Stackoverflow

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Github Skills (40)

simulation10
pcl10
robotics10
gazebosim10
ply10
point-cloud-library10
ignition10
localization10
api10
robot-simulator10
computer-vision10
robotics-simulation10
cpp10
point-cloud10
slam10

Programming languages (4)

JavaC++CSSPython

Github contributions (5)

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Project-MANAS/slam_gmapping

Nov 2018 - Mar 2021

Slam Gmapping for ROS2
Contributions:16 commits, 2 pushes, 2 branches in 2 years 4 months
roboticsgmappingros2mappingros
Project-MANAS/ars_40X

Sep 2019 - Jan 2020

Driver for the Continental radar ARS_404 / ARS_408.
Contributions:38 commits, 10 pushes, 1 branch in 3 months
px4cockpitarsradar
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