About

Kapil Kumar is a skilled Machine Learning Engineer with extensive experience in the field of computer vision. He is currently working at ClearQuote, where he has been involved in various projects related to image classification, object detection, and image segmentation. Kapil has a proven track record of creating innovative solutions that have helped his company achieve its goals. One of Kapil's notable achievements at ClearQuote is the creation of the Numper Plate Recognition system. He also worked on the "Smart Repair" project, where he added a smart repair tag to a damage based on its location and size. Kapil has trained image segmentation models for detecting car panels and damages over these panels, and he has worked on summarizing damages over a car from different images using image processing. Before joining ClearQuote, Kapil worked as a Machine Learning Intern at the same company. In this role, he created object detection models for detecting odometer, license plates, and rccards. He also applied image processing techniques to prepare the images for OCR and created multiclass image classifiers to classify images into categories for further processing. Kapil's educational background includes a Bachelor of Technology in Computer Science from Shri Mata Vaishno Devi University. He has a wide range of technical skills, including ML, object detection, computer vision, image segmentation, image processing, OpenCV, Python, TensorFlow, Pytorch, web development, and frontend development. Kapil has 3.87 years of relevant experience in the field and is always eager to learn and explore new technologies.