About

Harsh Khoont is an accomplished Machine Learning Engineer with over 4 years of experience in the field. He is currently employed at Dassault Systemes R&D, where he is working on challenging problems at the intersection of design and deep learning. Harsh has also worked as a consultant at A.T. Kearney New York, Societe Generale, Wipro, and Unilever, where he tackled challenges in consumer goods, banking, and operations strategy. Harsh holds a Master of Science degree from Columbia University and a bachelor's degree in Mechanical Engineering from the Indian Institute of Technology Kanpur. At IIT, he received numerous awards for his scientific research activities in the field of metal 3D printing. Harsh is also passionate about physical fitness and sports and has represented his city and institutes in badminton and swimming. Harsh's strengths include being a team player, a vivid positive thinker, and a quick learner. He is proficient in ML, Research Scientist, Deep Learning, Computer Vision, Data Scientist, Sentiment Analysis, NLP, and Web technologies. Harsh's tech stack is impressive, and he is always up-to-date with the latest advancements in his field. In his current role at Dassault Systemes, Harsh is part of the Artificial Intelligence Research Group, where he works on 3D computer vision, graph neural nets, linear algebra, and geometry and computer graphics. He has also worked as a Data Scientist at Autodesk, where he brought machine learning and deep learning revolution to the construction industry. At A.T. Kearney, Harsh optimized product features using NLP on web scraped customer reviews and product descriptions for consumer goods. He also performed speech-based linguistic analysis, topic modeling, and sentiment analysis to suggest product improvements. Overall, Harsh Khoont is an exceptional Machine Learning Engineer with a diverse skill set and a passion for solving complex problems. His experience, education, and tech stack make him an asset to any organization looking to push the boundaries of AI and ML.