About

Apurv Verma is an accomplished Applied Scientist with over 8 years of experience in the field of Machine Learning and Natural Language Processing. Currently, he works at Amazon as an Applied Scientist for Alexa Fairness, where he focuses on ensuring fairness in Machine Learning. Prior to his current role, Apurv worked as an Applied Scientist at Amazon where he developed cross-lingual transfer learning for Indic languages, and hierarchical Natural Language Processing for Alexa. He also played a key role in developing features such as compound requests, compound entities, shallow parsing, tagging, and unsupervised pre-training. Apurv holds a Master's degree in Computational Science and Engineering from the Georgia Institute of Technology, and a Bachelor's degree in Computer Science and Engineering from IIT. His expertise lies in Research Science, Machine Learning, and Natural Language Processing. Apurv's extensive experience in the field of Machine Learning and Natural Language Processing makes him a valuable asset to any team. He has a deep understanding of the latest technologies and techniques, and is always looking for ways to improve and innovate. His passion for ensuring fairness in Machine Learning is evident in his work, and he is committed to making a positive impact in this area.