Cyngn
Suriya Narayanan Lakshmanan is a software engineer with experience in perception, computer vision, and deep learning. Graduating with a master's degree in Computer Vision from Carnegie Mellon University, Suriya has worked on projects involving SLAM algorithms, OpenCV optimization, and object detection using algorithms such as Adaboost and Convolutional Neural Networks. With a background in Electrical and Electronics Engineering, Suriya has also interned at companies like Samsung Research America and Texas Instruments, where Suriya Narayanan worked on developing vision algorithms and exploring computer vision techniques for applications like obstacle detection. Currently working at Cyngn, Suriya focuses on enhancing perception capabilities for autonomous systems.
Cyngn
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Cyngn works where you work to transform the industrial vehicles you already manage into an autonomous fleet. Its mission is to create safer, broadly accessible and cost-effective transportation through advanced technology, enhancing human productivity and improving quality of life.