Parv Parkhiya is a Senior Perception Engineer with 10 years of experience building real-time perception stacks for autonomous systems, currently leading lidar-based mapping, ground segmentation, and self-supervised pointcloud labeling at ISEE in Cambridge. He combines deep academic training from IIIT Hyderabad and CMU with hands-on GPU-accelerated 3D occupancy grid and lidar simulation engineering to deliver production-ready SLAM and reconstruction modules. Parv’s work focuses on practical, high-performance solutions—optimizing mesh fitting and auto-labeling pipelines to shrink the gap between research and deployable autonomy. A robotics devotee and storyteller by nature, he brings a cinematic curiosity to problem framing that often yields elegant system designs. His background includes contributions to lidar SLAM at Zenuity and object-oriented SLAM research during his honours project, giving him both research rigor and field-tested product experience. Outside work he blends science-geek precision with creative instincts—from gaming and film analysis to narrative-driven approaches to engineering.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Electronics and Communications Engineering, CGPA 9.91/10, Bachelor's degree, Electronics and Communications Engineering, CGPA 9.91/10 at International Institute of Information Technology
Master of Science - MS, Robotics System Development, 4.05/4.33, Master of Science - MS, Robotics System Development, 4.05/4.33 at Carnegie Mellon University
Contributions:4 commits, 3 pushes, 1 branch in 1 year 2 months
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