Indushekhar Singh is a Perception Software Engineer with eight years of experience building real-time computer vision, ML, and SLAM systems for startups and research labs. Currently in Palo Alto, he designs radar–camera fusion and multiobject tracking pipelines (YOLOv3, Kalman filters, TensorRT) and has shipped online radar-radar and radar-camera extrinsic calibration and 4D radar visualization tools. Comfortable across C++11, Python, ROS, PCL/OpenCV and embedded platforms (Jetson TX2/Xavier, Raspberry Pi, Arduino), he bridges algorithm research and production deployment. His background includes autonomous navigation, EKF-based sensor fusion, and robotics research from the University of Maryland, where he applied visual odometry to small UAVs. Notably, he has moved perception work beyond typical lidar/camera stacks by operationalizing radar-centric solutions for urban traffic.
8 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Electrical and Electronics Engineering, 8.44/10, Bachelor's Degree, Electrical and Electronics Engineering, 8.44/10 at National Institute of Technology Jamshedpur
The University of Maryland, College Park
Nanodegree : Deep Learning, Nanodegree : Deep Learning at Udacity
12th, 86.20 %, 12th, 86.20 % at Tender Heart Sr Sec School ,Ranchi
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Indushekhar Singh - Perception Software Engineer at Koko