Summary
Ashish Sajwan is an engineering professional with nine years of experience building perception and embedded systems for automotive applications, currently developing perception algorithms at Applied Intuition. He combines classical robotics and deep learning to deliver efficient LiDAR solutions—SLAM, tracking, calibration, segmentation and mapping—grounded in rigorous research from the University of Michigan. Prior roles at Aptiv and National Instruments gave him end-to-end expertise across sensors, real-time systems, HIL, and field deployments, including leading an embedded team in India and consulting on 100+ automotive projects. Known for shipping production C++ systems and Python tooling for HD maps, he bridges research prototypes and scalable product implementations. Less obvious: he pairs hands-on algorithm development with practical systems engineering and customer-facing troubleshooting, making him effective at both R&D and deployment phases.
9 years of coding experience
10 years of employment as a software developer
Master's degree Automotive Engineering, Master's degree Automotive Engineering at University of Michigan
Bachelor of Technology (B.Tech.) Mechanical Engineering, Bachelor of Technology (B.Tech.) Mechanical Engineering at Motilal Nehru National Institute Of Technology
High School, High School at Little Scholars
Hindi, English