Divy Murli
About Divy Murli
Divy Murli is a Machine Learning Engineer with expertise in natural language processing and production systems. He has worked for various companies, including Uberduck, Kount, and Casetext, and holds a PhD in Physics from Stanford University.
Current Role at Pryon
Divy Murli serves as a Machine Learning Engineer at Pryon since 2024. In this role, he focuses on developing and optimizing machine learning models to enhance the company's offerings. His responsibilities include building and maintaining production systems that leverage advanced language models.
Previous Experience at Uberduck
Divy Murli worked at Uberduck as a Machine Learning Engineer for a brief period in 2023. During his two-month tenure in Seattle, Washington, he contributed to projects that involved building and maintaining production systems utilizing various language models.
Experience at Kount
Prior to his role at Uberduck, Divy Murli was employed at Kount, an Equifax Company, as a Data Scientist from 2019 to 2022. His three years in the Boise, Idaho area involved applying data science techniques to solve complex problems and improve company operations.
Work at Casetext
Divy Murli held the position of Machine Learning Engineer at Casetext from 2022 to 2023. His work involved the application of natural language processing methods to enhance search and ranking systems, contributing to the development of innovative solutions in the legal tech space.
Education and Expertise
Divy Murli earned his Doctor of Philosophy (PhD) in Physics from Stanford University, completing his studies from 2014 to 2019. He also holds a Bachelor of Science (BS) in Physics from UC Santa Barbara, where he studied from 2010 to 2014. His academic background supports his expertise in machine learning, particularly in retrieval augmented generation (RAG), Seq2Seq, and Transformer models.