Vivek Bagaria is an autonomy lead with 14 years of experience building production-grade computer vision and robotics systems, currently designing the full autonomy stack for Matic's indoor cleaning robots in Mountain View. He engineered a camera-only SLAM with IMU that achieves ~2mm accuracy and runs live on low-power Jetson-class hardware, and built an automated five-camera plus IMU calibration rig used in manufacturing at scale. His background blends rigorous research—PhD work at Stanford on high-throughput blockchains and ML algorithms—with hands-on systems engineering across firmware, hardware, and data pipelines. Comfortable shipping optimized C++/Rust systems in constrained environments, he brings both theoretical depth and practical experience deploying hundreds of robots in the field. An underappreciated strength is his ability to translate academic proofs into deployed, cost-sensitive solutions that run reliably on commodity embedded platforms.
13 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Stanford University
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