Brex
Pranjal is a product-driven researcher who has made efforts to contribute at the intersection of natural language processing, computer vision, graph neural networks and information systems. He leads the Data Science and Machine Learning teams at Brex where he has worked on AI in fintech, including fraud risk detection and prevention. Previously, he was a Lead Machine Learning Scientist at Cisco Innovation Labs where he worked on deep learning for Speech Recognition and Summarization, resulting in 4 patents. He also spent time at Adobe Research and IBM Research as an NLP Reseacher while doing his PhD ABD from Purdue University. He got interested in Reinforcement Learning after conducting research at University of Alberta under Prof. Russ Greiner. His research work has been published in ACL, CoNLL, etc. and he has been a regular keynote speaker at Machine Learning conferences.