Arun Das
Engineering at Applied Intuition
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolArun Das is a Principal Engineer and engineering manager with a decade of experience building AI/ML-driven mapping, localization, and autonomy systems for production vehicles and constrained embedded platforms. He led cross-functional teams at Bosch’s Silicon Valley unit to transition classical SLAM and localization pipelines to scalable, ML-first onboard map generation and large-scale auto-labeling for Level-4 programs, and now continues that trajectory at Applied Intuition. Trained as a PhD in Mechatronics, Robotics and Automation from the University of Waterloo, Arun combines deep nonlinear state-estimation expertise with hands-on embedded and FPGA experience from early-career roles. He bridges research and product—translating academic advances in multi-camera visual navigation into reliable, safety-focused systems—and is known for driving practical innovation in compute- and safety-constrained environments.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mechatronics, Robotics, and Automation Engineering, Doctor of Philosophy (Ph.D.), Mechatronics, Robotics, and Automation Engineering at University of Waterloo
Github Skills (9)
extrinsic-parameters9
multi-camera9
slam8
ros7
ros-node7
ros-driver7
usb6
localization6
3d5
Programming languages (2)
Github contributions (5)
wavelab/ximea_camera
Dec 2015 - Dec 2015
ROS drivers for the ximea xiQ USB 3.0 Cameras
Contributions:3 commits, 3 PRs, 14 pushes in 14 days
ros-driverusb
arunxdas/rosdistro
Dec 2015 - Dec 2015
Contributions:2 pushes in 1 day
repositoriesros2for-eachlistsros
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