Raghavender Sahdev
Founder And CEO at NuPort
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRaghavender Sahdev is a founder-CEO and applied AI/robotics entrepreneur with 11 years’ experience building autonomous systems, currently leading NuPort Robotics — Canada’s first autonomous trucking company. A Forbes 30 Under 30 and multiple 30-under-30 awardee, he combines academic depth (MSc in computer-vision robotics from York University) with hands-on product engineering from roles at Huawei and major startup accelerators like Berkeley SkyDeck and Plug and Play. He has published prize-winning research on person-following robots, contributed core visual-odometry work to the well-known MRPT open-source toolkit, and reviewed for IJRR, bridging cutting-edge research and production-grade CV/robotics code. Comfortable in both embedded systems and cloud-scale startup operations, he’s advised ventures, mentored international research interns, and repeatedly shipped prototypes in robotics, autonomous driving, and motion planning. His time spent collaborating with top labs worldwide and traveling to 40+ cities reflects a deliberate practice of spotting gaps between academic advances and real-world product needs.
11 years of coding experience
6 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceVisiting Graduate Student, Computer Science, Visiting Graduate Student, Computer Science at University of TorontoMaster of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at York University
English, Hindi, Punjabi
Github Skills (8)
computer-vision10
opencv10
c-language10
cprogramming-language10
data-structure7
data-structures7
algorithm7
algorithms7
Programming languages (3)
Github contributions (5)
MRPT/mrpt
Jun 2017 - Oct 2017
:zap: The Mobile Robot Programming Toolkit (MRPT)
Role in this project:
Back-end Developer & Computer Vision Specialist
Back-end Developer & Computer Vision SpecialistContributions:49 commits, 5 PRs, 16 comments in 4 months
Contributions summary:Raghavender added basic skeleton functionality for visual odometry, indicating a focus on implementing core algorithms related to robot motion estimation. Their work involved integrating image processing libraries (OpenCV) and utilizing C++ within the Mobile Robot Programming Toolkit (MRPT). The code changes suggest a hands-on approach to developing and testing visual odometry components, with ongoing extensions planned for different features. The commits demonstrate work on integrating image features like FAST features.
robot-programmingroboticsmobile-robotspoint-cloudsrobot-framework
raghavendersahdev/moveit
Jun 2018 - Oct 2018
The MoveIt! motion planning framework
Contributions:115 pushes, 14 branches in 4 months
roboticsmotionmoveitplanningmotion-planning
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