Summary
Nirav Savaliya is a Senior Research Engineer specializing in mapping, localization, and spatial perception with nine years of experience applying these skills to autonomous vehicles and embodied AI. Based in San Jose, he leads multi-modal spatial perception and generalized robot navigation efforts at Honda Research Institute after progressing through roles focused on city-scale visual mapping and BEV road-scene understanding. He holds a master's in Robotics from Worcester Polytechnic Institute (4.0 GPA) and has practical research experience spanning visual-inertial odometry, long-term seasonal localization, active SLAM with reinforcement learning, and quadruped gait planning. Nirav combines rigorous academic training with hands-on system-building in real-world robotics stacks, often bridging perception research to deployable navigation solutions. He brings a strong focus on scalable mapping and localization that supports both autonomous driving and AR/VR applications, and is known for integrating multi-sensor modalities to improve long-term robustness.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Mechatronics, Robotics, and Automation Engineering, 4.0, Master's degree, Mechatronics, Robotics, and Automation Engineering, 4.0 at Worcester Polytechnic Institute
Bachelor’s Degree, Mechatronics Engineering, 8.4/10, Bachelor’s Degree, Mechatronics Engineering, 8.4/10 at The LNM Institute of Information Technology