About

Gaurav Kumar is a highly skilled Machine Learning Engineer with a Master's degree in Computer Science from the University of California and a Bachelor's degree in Electrical and Electronics Engineering from IIT Kanpur. With 3 years of professional experience, Gaurav has hands-on expertise in the complete ML life-cycle from modeling to production in the tech industry. Currently working at Moveworks, Gaurav is responsible for developing and implementing machine learning models and algorithms for various projects. He has previously worked as a Machine Learning Engineer Intern in the Search Team at Moveworks, where he gained valuable experience in developing and optimizing search algorithms using NLP and Deep Learning techniques. Gaurav also has experience working as a Research Intern at the University of Tuebingen, where he worked at the intersection of Neuroscience and Deep Learning to estimate the physical properties of clothes from its varying videos. He experimented with various networks, including CNN+LSTM networks, 3D CNNs, 2 stream, multi loss networks, and proposed triplet loss based optimization for model training. Additionally, he built a web interface to gather user data and understand the correlation between human perception and neural networks. Gaurav's technical expertise includes Machine Learning, Research Scientist, Deep Learning, NLP, Computer Vision, Search, Pytorch, Java, Tensorflow, Python, Software Engineer, test, and Mobile. He is a skilled problem-solver with excellent communication and collaboration skills. With relevant experience of 2.95 years, Gaurav is a valuable asset to any organization looking for a talented Machine Learning Engineer.