About

Rajeev Sharma is an upcoming AI Engineer with a Master's degree in Smart Mobility from IIT Hyderabad and a Bachelor's degree in Mechanical Engineering from NIT Kurukshetra. He has a keen interest in computer vision research and has implemented 2D object detection algorithms like EfficientDet and YOLOv5 on Nvidia Geforce RTX 2060. Currently, he is working on improving the 3D bounding boxes for autonomous vehicles using mmdetection3d and has implemented FCOS3D on the nuscenes dataset on Nvidia Tesla K80. Rajeev has worked as a Computer Vision Developer at Flo Mobility, where he trained object detection algorithms, worked on E2E cloud servers, GCP, and Nvidia RTX Geforce 2060. He researched lane detection algorithms and segmentation algorithms. He has also worked as a Data Science Intern at Teksands.ai, where he completed articles and mini-projects on intuitive understanding of object detection, introduction to capsules networks, unfolding the siamese network, introduction to transformers, regularisation techniques in neural networks, and graph neural networks. Currently, Rajeev is an AI Engineer Intern at Qualcomm, where he is working on Graph Convolution Networks. He is proficient in AI, object detection, computer vision, research scientist, GCP, data scientist, and neural networks. He has a total of 2.03 years of relevant experience and is open to opportunities in startups.