Rahil Parikh– Applied Scientist, Alexa AI- Amazon

Rahil is an Applied Scientist at Amazon, working in Natural Language Understanding (NLU) for Alexa AI. His current focus is in building privacy-preserving ML models and large-scale data de-identification pipelines. He also developed the first Model Inversion Attack for NLP Tasks. While working for Aelxa AI’s Edge-ML team, he worked on representation and multi-task learning for Acoustic Event Detection and Acoustic Scene Classification.

Prior to joining Amazon, Rahil worked with Prof. Shihab Shamma at the Neural Systems Lab and Prof. Carol Espy-Wilson at the Speech Communication Lab, University of Maryland. He worked on a multitude of speech and language processing tasks such as speech separation, universal source separation, speech production and speaker verification from 2018 and completed his graduate studies in 2022.

Prior to joining the in 2017, Rahil completed his undergraduate studies at Birla Institute of Technology and Science in 2017.