About

Abhinav Garg is a highly skilled Machine Learning Researcher with over 5 years of relevant experience in the field. Currently working at Samsung Electronics Seoul R&D Campus, he has proven expertise in the development and implementation of advanced machine learning algorithms and models. Abhinav's professional journey started with his Bachelor's degree in Computer Science from the prestigious Indian Institute of Technology, Kanpur. He then pursued his interest in machine learning and went on to work on various projects related to the field. One of his notable projects during his time at the University of Texas at Dallas was aimed at finding two edge-disjoint Spanning Trees in an undirected graph with n vertices and 2n-2 edges. One of which is a double edge. Abhinav's technical expertise lies in ML, Research Scientist, and Mobile technologies. He has a strong understanding of the latest trends and developments in the field of machine learning and is always looking to expand his knowledge and skills. Abhinav's work experience has equipped him with excellent problem-solving, analytical, and critical thinking skills. He has a keen eye for detail and is always striving for excellence in his work. Abhinav is a team player and has collaborated with various teams to deliver successful projects. Overall, Abhinav Garg is a highly motivated and skilled Machine Learning Researcher with a passion for developing cutting-edge solutions. He is an asset to any team and is always looking for opportunities to contribute to the field of machine learning.