About

Rajat Deshmukh is a Senior Software Engineer with over 5 years of experience in the field of Machine Learning, Deep Learning, Computer Vision, and NLP. Currently, he is working as a Machine Learning Engineer at Morgan Stanley, where he is involved in the development of Deep Learning Models to combat frauds happening in the bank's Fraud Risk Division. Rajat has previously worked as a Senior Software Engineer at Intellect Design Arena, where he worked on a product named IDX (Intelligent Data Extraction), dealing in Retail and Enterprise versions of Intelligent Data Extraction APIs. He has also worked as a Deep Learning Engineer at the Innovation Lab of SS & C Technologies. Rajat holds a Bachelor of Technology degree in Engineering Physics from the Indian Institute of Technology, Madras, which he completed in 2017. He has a strong technical background and is proficient in various TechStacks, including ML, Software Engineering, Deep Learning, Computer Vision, and NLP. With his expertise in Machine Learning and Deep Learning, Rajat has contributed significantly to the development of cutting-edge technologies in the field. He is a quick learner and has a passion for staying up-to-date with the latest advancements in the field. Rajat is a team player and has excellent communication skills, making him an asset to any team he works with.