About

Vivek Gurjar is a seasoned Computer Vision and Machine Learning expert with over 5 years of experience in the field. He is a proficient Python developer with a deep understanding of deep learning and video analysis. Vivek holds an M.Tech degree in Mobile Computing Technology and a B.E. degree in Electronics and Communication. Vivek has an impressive track record of solving complex problems using deep learning. He has worked on various projects such as sport key moments detection on live video stream, street to shop fashion retrieval system, in-shop fashion retrieval system, and a tool for complete machine learning pipeline. He has also built a content moderation system with 80% automation and 20% human intervention, a smart short video creation tool to convert long duration Indian TV serial to short video, and an intelligent video dimension conversion system. Vivek has worked with various deep learning frameworks such as Tensorflow, Darknet, and PyTorch. He has also worked on object detection and tracking, shot detection on TV shows, and video content analysis. He has a well-rounded technical skill set that includes ML, Computer Vision, Python, Deep Learning, Object detection, Object Detection, Mobile, Tensorflow, Pytorch, and Software Engineering. Currently, Vivek works as a Machine Learning Engineer at Toch. Prior to this, he worked as a Unity developer at Cubical Hub and a Mobile Game Developer at Mobibit Softwares. With a total of 9.61 years of relevant experience, Vivek is a highly skilled professional who is passionate about his work. He is a quick learner and has a strong ability to adapt to new technologies and work environments. Vivek is a team player who enjoys collaborating with others to solve complex problems.