Ripon Saha

Ripon Saha is a research scientist at Meta with a robust background in software engineering and research development. Saha's career includes roles such as a Graduate Research Assistant at The University of Texas at Austin, where the introduction of a program source code structure concept for bug localization was achieved. Experience at Fujitsu Research of America involved leading the development of Elixir, a machine learning-based tool for automatic patch generation, and developing Sensei, a data augmentation tool for deep neural networks. Previous positions also include software engineering internships at IBM and research assistant roles at the University of Saskatchewan and Fujitsu Labs of America. Saha holds a Ph.D. in Software Engineering from The University of Texas at Austin, alongside a Master's degree in Computer Science from the University of Saskatchewan and a bachelor's degree from Khulna University.