About

Prashant Gupta is a Machine Learning Engineer at Apple with a strong background in Natural Language Processing (NLP) and Machine Learning (ML). He obtained his Masters in Intelligent Information Systems from Carnegie Mellon University in December 2019, where his research focused on NLP, specifically in fanfiction. Prior to his graduate studies, Prashant worked in the industry for 3 years as a Decision Scientist. During his time at Carnegie Mellon University, Prashant worked on a project aimed at improving Open Domain Question Answering by combining text sources and knowledge bases. He also worked on a Directed Study project focused on developing neural models to enable modeling of narrative structure, character development, and speaking style of fictional characters, with a particular emphasis on fan fiction. His work involved identifying iconographic symbols for characters and contrasting behavior of characters based on their interactions and context using Named Sense Disambiguation. Prashant has experience working with ML, NLP, Research Scientist, Deep Learning, QA, and Neural Networks. He has also worked as a Summer Intern at Project Aero at Adobe, where he integrated image detection with Deep Learning for 3D objects and models. Prashant is a highly skilled and experienced professional with 5.86 years of relevant experience. He is passionate about using his skills to solve complex problems and create innovative solutions. He can be reached through his LinkedIn profile or by email.