About

Shaurya Dwivedi is a highly skilled Computer Vision Engineer with a passion for cutting-edge technologies such as AI, Machine Learning, Deep Learning, IoT, Robotics, and Self-driving cars. He is currently working as a Staff Data Scientist (R&D) at Infineon Technologies, where he uses his expertise in Machine Learning to solve complex problems. Shaurya has 2.28 years of relevant experience in the field of Computer Vision and has worked with companies such as Visteon India and Infosys. At Visteon India, he was responsible for developing and deploying SOTA Object Detection Models on SoCs, Lane detection on Fisheye images, and 360-degree Surround View Monitoring System with Fisheye images. He also developed Hand on Face Detection Module using TensorFlow and deployed it on SoC using tflite. At Infosys, he converted multiple client POCs to projects and developed HRSG baffles inspection using Object Detection techniques. Shaurya holds a Master of Technology in Data Science from the Indian Institute of Technology, Hyderabad, and a Bachelor of Technology in Computer Science and Engineering from Dr. A.P.J. Abdul Kalam Technical University. He also holds a Self-driving car Nano Degree from Udacity. Shaurya's technical skills include Computer Vision, Research Scientist, Data Scientist, Deep Learning, ML, Image Processing, NLP, Object detection, AI, SVM, Object Detection, TensorFlow, and Python. He is a problem solver with a deep thinking mindset, and he is always eager to learn and explore new technologies.