Shivesh Khaitan
Senior Machine Learning Engineer at Aurora
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolShivesh 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.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Manipal Institute of TechnologyMaster of Science - MS, Robotics, Master of Science - MS, Robotics at Carnegie Mellon University
Stackoverflow
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Github Skills (26)
pcl10
robotics10
point-cloud-library10
localization10
driver10
computer-vision10
cpp10
point-cloud10
slam10
ros10
gazebosim9
ignition9
robotics-simulation8
simulation8
transport8
Programming languages (4)
Github contributions (5)
Project-MANAS/xdwa_local_planner
Dec 2018 - Dec 2019
Contributions:19 commits, 1 branch in 1 year
shiveshkhaitan/gazebo_ros_pkgs
May 2019 - Nov 2019
Wrappers, tools and additional API's for using ROS with Gazebo
Contributions:83 commits, 138 pushes, 45 branches in 5 months
ros
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